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| number = ML13018A103
| number = ML13018A103
| issue date = 01/26/2009
| issue date = 01/26/2009
| title = River Bend Station - Drift Study for Abb ITE-62 Timers (TAC No. ME7767)
| title = River Bend Station - Drift Study for Abb ITE-62 Timers
| author name = Castor A
| author name = Castor A
| author affiliation = Entergy Operations, Inc
| author affiliation = Entergy Operations, Inc

Revision as of 07:02, 8 February 2019

River Bend Station - Drift Study for Abb ITE-62 Timers
ML13018A103
Person / Time
Site: River Bend Entergy icon.png
Issue date: 01/26/2009
From: Castor A
Entergy Operations
To: Wang A B
Plant Licensing Branch IV
Wang A B
Shared Package
ML13018A081 List:
References
TAC ME7767 G13.18.6.3-009
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ANO-1 ANO-2 GGNS IP-2 IP-3 PLP JAF PNPS RBS VY W3CALCULATIONCOVER PAGE (1) EC #11753(2)Page 1 of 45(3) Design Basis Calc. YES NO(4) CALCULATION EC Markup(5 )Calculation No: G13.18.6.3-009 (6)Revision:0(7)Title:Drift Study for ABB ITE-62 Timers (8)System(s): 302 (9)Review Org (Department):NSBE3 (I&C Design) (10)Safety Class: Safety / Quality RelatedAugmented Quality ProgramNon-Safety Related(11)Component/Equipment/Structure Type/Number: ENS-SWG1A-62-1ENS-SWG1A-62-2ENS-SWG1A-62-6ENS-SWG1B-62-1ENS-SWG1B-62-2ENS-SWG1B-62-6 (12) Document Type: F43.02 (13)Keywords (Description / Topical Codes): Drift REVIEWS(14)Name/Signature/Date_Aaron Castor / / 1-26-09(15)Name/Signature/DateR.J. Hannigan / / 1-26-09(16)Name/Signature/DateSee AS for electronic signatureResponsible EngineerDesign VerifierSupervisor/ApprovalReviewer Comments Attached Comments Attached DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 2 OF 14 CALCULATIONREFERENCE SHEETCALCULATION NO: G13.18.6.3-009 REVISION: 0 I. EC Markups Incorporated NoneII. Relationships

ShtRevInputDocOutputDocImpactY/NTracking No.1. 350911 NA!" N2. 350912 NA!" N3. 350917 NA!" N4. 350918 NA!" N5. 358908 NA!" N6. 358909 NA!" N7. 364930 NA!" N8. 364931 NA!" N9. 364932 NA!" N10. 364935 NA!" N11. ECH-NE-08-00015 000!" N12. G13.18.6.2-ENS-006 0000"!Y1175313. STP-302-1600 111!" N14. STP-302-1600 112!" N15. STP-302-1600 113!" N16. STP-302-1601 110!" N17. STP-302-1601 111!" N18. STP-302-1601 112!" N19. STP-302-1602 111!" N20. STP-302-1602 112!" N21. STP-302-1602 113!" N22. STP-302-1603 111!" N23. STP-302-1603 112!" N24. STP-302-1603 113!" N25. WO-00053890 0!" N26. WO-506881420!" N27. WO-506881430!" N28. WO-506881440!" N29. WO-506881450!" N30. WO-509944040!" N31. WO-509944050!" N32. WO-509945160!" N33. WO-509945170!" N34. WO-510411950!" N DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 3 OF 14 CALCULATIONREFERENCE SHEETCALCULATION NO: G13.18.6.3-009 REVISION: 0 II. Relationships
ShtRevInputDocOutputDocImpactY/NTracking No.35. WO-510411960!" N36. WO-51041842 0!" N37. WO-510418430!" NIII. CROSS REFERENCES
1. American National Standard N15.15-1974, Assessment of the Assumption of Normality (Employing Individual Observed Values) 2. ANSI/ISA-S67.04-Part I-2000, Setpoints for Nuclear Safety Related Instrumentation 3. DOE Research and Development Report No. WAPD-TM-1292, Statistics for Nuclear Engineers and Scientists Part 1: Basic Statistical Inference, February 1981 4. EPRI TR-103335R1, Statistical Analysis of Instrument Calibration Data; Guidelines for Instrument Calibration Extension / Reduction Programs, October 1998 5. ISA-RP67.04-Part II-2000, Methodologies for the Determination of Setpoints for Nuclear Safety-Related Instrumentation, Second Printing, June 12, 1995 6. NRC Generic Letter 91-04, Changes in Technical Specification Surveillance Requirements to Accommodate a 24 Month Fuel Cycle, April 2, 1991 7. VTD-B455-0147, Brown Boveri (Now ABB Power T&D Company) Instructions for ITE Solid-State Timing Relays, Pub # IB 18.7.7-16, Revision 0 8. VTD-B455-0157, Brown Boveri (Now ABB Power T&D Company) Instructions for ITE Solid-State Time Delay Relay ITE-62L Surface Mounted, Pub. # IB 18.7.7-48, Revision 0 IV. SOFTWARE USED
Title: N/A Version/Release: Disk/CD No. V. DISK/CDS INCLUDED
Title: N/A Version/Release Disk/CD No. VI. OTHER CHANGES

DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 4 OF 14 RevisionRecord of Revision 0Initial issue.

DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 5 OF 14 TABLE OF CONTENTS 1Purpose!.................................................................................................................................................

!62Conclusions

!...........................................................................................................................................

!73Design!Inputs!.........................................................................................................................................

!74References

!.............................................................................................................................................

!75Assumptions

!..........................................................................................................................................

!86Method!of!Analysis................................................................................................................................

!87Analysis!................................................................................................................................................

!108Atttachments

!.......................................................................................................................................

!14 Attachment 1 - Drift Analysis Supporting Information (Excel Spreadsheet) - 23 pages Attachment 2 - DVR Forms with comments - 8 pages DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 6 OF 14 1Purpose 1.1The purpose of this analysis is to establish more realistic drift values and characteristics to be used by instrument uncertainty calculations for determination of setpoints and allowable values for the subject instrumentation. The drift values are determined by historical As Found / As Left data analysis. 1.2Specifically, this analysis addresses Asea Brown Boveri Model (ABB) ITE-62 Undervoltage Timers with tag numbers as shown in Table 1.2-1 below. Also shown in the table are the calibration procedure numbers, device functions, and applicable Technical Specification (TS) sections. The results of this analysis can be conservatively applied to any ABB Model ITE-62 Undervoltage Timers used at River Bend Station that meets the criteria listed in Section 3.5.3 of Reference 4.1.3, "Considerations When Combining Instruments Into a Single Group". TABLE 1.2-1 COMPONENT LIST PROCEDURE NO. TAG NO. FUNCTIONTS SECTION STP-302-1600 STP-302-1601 ENS-SWG1A-62-1 ENS-SWG1B-62-1Loss of Power (LOP) Instrumentation Divisions 1 and 2 - 4.16 kV Emergency Bus Undervoltage Loss of Voltage - Time Delay 3.3.8.1.3-1.bSTP-302-1602 STP-302-1603 ENS-SWG1A-62-2 ENS-SWG1B-62-2Loss of Power (LOP) Instrumentation Divisions 1 and 2 - 4.16 kV Emergency Bus Undervoltage Degraded Voltage - Time Delay (No LOCA) 3.3.8.1.3-1.dSTP-302-1602 STP-302-1603 ENS-SWG1A-62-6 ENS-SWG1B-62-6Loss of Power (LOP) Instrumentation Divisions 1 and 2 - 4.16 kV Emergency Bus Undervoltage Degraded Voltage - Time Delay (LOCA)3.3.8.1.3-1.e DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 7 OF 14 2Conclusions 2.1The bounding Analyzed Drift (DA) for the ITE-62 Time Delay Relays (See Table 1.2-1) has been determined to be

! 2.072 % Setpointfor a 30 month (24 months + 25%) calibration interval, with no significant bias. The Analyzed Drift should be treated as a normally distributed, 2

" value for uncertainty analysis.2.2The results of this analysis can be conservatively applied to all of the Undervoltage Timers in Table 1.2-1 and to any ABB Model ITE-62 Undervoltage Timers used at River Bend Station, which meets the criteria listed in Section 3.5.3 of Reference 4.1.3,"Considerations When Combining Instruments Into a Single Group". 3Design Inputs 3.1Pages 1 through 3 of Attachment 1 provide a listing of the historical As Left (AL) and As Found (AF) data, as obtained from Reference 4.2.1, with any data exclusions or modifications noted. All dates of calibration are also entered to provide time intervals between calibrations. 4References 4.1METHODOLOGY4.1.1ANSI/ISA-S67.04-Part I-2000, "Setpoints for Nuclear Safety Related Instrumentation"4.1.2ISA-RP67.04-Part II-2000, "Methodologies for the Determination of Setpoints for Nuclear Safety-Related Instrumentation," Second Printing, June 12, 1995 4.1.3ECH-NE-08-00015, "Instrument Drift Analysis Design Guide," Rev. 0, Generated by EXCEL Services Corporation, July 2008 4.1.4EPRI TR-103335R1, "Statistical Analysis of Instrument Calibration Data; Guidelines for Instrument Calibration Extension / Reduction Programs," October, 1998 4.1.5DOE Research and Development Report No. WAPD-TM-1292, "Statistics for Nuclear Engineers and Scientists Part 1: Basic Statistical Inference," February 1981 4.1.6NRC Generic Letter 91-04, "Changes in Technical Specification Surveillance Requirements to Accommodate a 24 Month Fuel Cycle," April 2, 1991 4.1.7American National Standard N15.15-1974, "Assessment of the Assumption of Normality (Employing Individual Observed Values)" 4.2PROCEDURES4.2.1Historical Calibration Records from RBS Surveillance Test Procedure Results for STP-302-1600, 1601, 1602, and 1603 DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 8 OF 14 4.3MISCELLANEOUS REFERENCES 4.3.1VTD-B455-0147, Brown Boveri (Now ABB Power T&D Company) Instructions for ITE Solid-State Timing Relays, Pub # IB 18.7.7-16, Revision 0 4.3.2VTD-B455-0157, Brown Boveri (Now ABB Power T&D Company) Instructions for ITE Solid-State Time Delay Relay ITE-62L Surface Mounted, Pub. # IB 18.7.7-48, Revision 0 5Assumptions 5.1This drift report employs those assumptions customarily used for standard statistical analyses, as directed by Reference 4.1.3, such as the assumption that a distribution is normal and the use of statistical tests to confirm this hypothesis. 5.2This drift report is based on analysis of historical As Found and As Left data from calibration records for the devices listed in Table 1.2-1. The results of this analysis can also apply to any ABB Model ITE-62 Undervoltage Timers used at RBS, but care must be taken when applying these results. Specifically, in order to apply the results of this analysis to other similar devices, the devices must meet the criteria listed in Section 3.5.3 of Reference 4.1.3, "Considerations When Combining Instruments Into a Single Group".6Method of Analysis 6.1The methodology used for this analysis is Reference 4.1.3, which is written in accordance with Reference 4.1.4, using References 4.1.1,4.1.2 and 4.1.7 to supplement. An overview of the methodology is given herein, and any deviation from Reference4.1.3 or any supplemental methods used herein are described. 6.2This analysis determines the drift values for the subject instrumentation by analysis of historical As Found / As Left data from calibration records. Drift for a given device for a calibration period is determined by subtracting the previous As Left setting from a more recent As Found setting. The time interval for that calibration period is determined by subtracting the previous date from the more recent date, in units of days. All retrievable As Left and As Found data is collected for each calibration performed on each device covered by this report, for the study period. From this information, the drift and calibration interval is generated for each possible instance. Per Section 3.4.2 of Reference4.1.3, "The goal is to collect enough data for the instrument or group to make a statistically valid pool." It goes on to explain that there is no hard fast number. However sufficient data should be collected to yield at least 30 valid drift values for analysis, or at least 20 under justifiable circumstances. Also, as noted in Section 3.4.2.4 of Reference 4.1.3, "For each selected component in the sample, enough historic calibration data should be provided to ensure that the component's performance over time is understood." The devices covered by this report are currently calibrated on an 18 Month basis, and the proposed extension is for a 24 Month nominal calibration interval. Therefore, a study period of 10 years represents more than six of the present calibration cycles, and five of the proposed calibration cycles, which is adequate to understand the component's performance over time. Also, a sufficient number of valid drift values are provided as a result of the selected study period to make a statistically DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 9 OF 14 valid pool. Therefore, As Found and As Left Data values are entered from calibrations occurring for approximately the last 10 years. 6.3Determination of the Analyzed Drift is generally accomplished through the following steps.6.3.1Gather and Generate Raw Drift Data: In addition to gathering the As Found and As Left data, and computing the drift values and time intervals, this step also involves an investigation into whether all of the devices should be analyzed together, or whether they should be separated into smaller analysis groups. Additionally, this step involves careful screening of the input data for errors or other situations that would not allow proper determination of drift

.Finally, this step involves careful screening of the input data for errors or other situations that could disrupt the proper determination of drift. 6.3.2Determination of Outliers and Statistical Summary: In order to properly model the drift characteristics for a device, it could be proper to remove up to one more data value, which obviously does not conform to the vast majority of the data. A t-Test is performed on the data to detect any outliers, and remove up to one if appropriate, per the guidelines of Reference 4.1.3. Additionally, the basic statistical values which describe the group of drift data are derived in this step, including such parameters as Mean, Standard Deviation, Count, Median, Minimum, Maximum, etc. 6.3.3Tests for Normality: Per Reference 4.1.3, a statistical test (W or D-Prime, depending on sample size) is performed on the drift data to support the hypothesis that the data conforms to a normal distribution. If this test is unable to support that hypothesis, then a Coverage Analysis is performed to ensure that the data can be conservatively modeled by a normal distribution and to provide an adjustment to the standard deviation of the drift model, if necessary to conservatively envelop the observed data population. 6.3.4Time-Dependency: Per Reference 4.1.3, Scatter Plots and a time-based Binning Analysis are developed for the data to establish the time-dependency of the drift. If enough drift data exists for significantly different time intervals, regression analysis is performed to aid in the determination of time-dependency. The drift data is determined to be strongly time dependent or moderately time dependent, for the purpose of extrapolation. 6.3.5Analyzed Drift Derivation and Characterization: The drift values are determined for the current calibration interval. These values are conservatively extrapolated to the desired calibration interval, based on the methods prescribed in Reference 4.1.3,depending on the degree of time-dependency derived for the drift data.

DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 10 OF 14 6.4The mathematical computations of the statistical analysis are performed within an Excel spreadsheet. Supporting information from the spreadsheet is printed out as Attachment 1 to this analysis. Microsoft Excel spreadsheets generally compute values to an approximate 15 decimal resolution, which is well beyond any required rounding for engineering analyses. However, for printing and display purposes, most values are displayed to lesser resolution. It is possible that hand computations will produce slightly different results, because of using rounded numbers in initial and intermediate steps, but the Excel computed values are considered highly accurate in comparison. 6.5Acceptance Criteria: Since the purpose of the analysis is to generate a value and description of the characteristics of the drift of the evaluated make/model, there are no specific acceptance criteria. 7Analysis 7.1Gather and Generate Raw Error Data 7.1.1Specifically, this analysis addresses ABB Model ITE-62 Undervoltage Timers, with the tag numbers as shown in Table 1.2-1 of this analysis. These relays have the same manufacturer and very similar model numbers. All are ABB ITE-62 series time delay relays, but some are model ITE-62K and others are ITE-62L. Per References4.3.1 and 4.3.2, these relays have somewhat similar specifications, and are of the same manufacturer and series. It is postulated that these two models will perform similarly. Additionally, these relays have some differences in setpoints.Therefore, pooling tests are required to group the data for analysis. 7.1.2Pages 1 through 3 of Attachment 1 provide a listing of the initial As Found and As Left data from available historical plant calibration records for the subject Undervoltage Timers. Note that the calibration dates are also recorded, and notes are provided to clarify the activities performed or to provide additional information about the data, as appropriate. This data was entered into an Excel spreadsheet for computation of the drift values, time intervals between calibrations and statistical analysis.7.1.3A screening of the initial input data from pages 1 through 3 of Attachment 1 was performed. To help identify erroneous data, an informal critical T-test was performed, with the Critical T values reduced incrementally until approximately 10% of the data population was identified as outliers. Those outliers were researched, and no data errors were revealed

. The specific informal T-tests performed are not documented, as they are only used as tools to identify potentially erroneous data and do not contribute to the analysis of the valid data.

DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 11 OF 14 7.1.4Data not entered into the analysis is listed in the table below, showing the reasoning used in not entering the data. Table 7.4.2-1 Data Not Entered in the Drift Analysis ProcedureNumberTag Number SurveillanceDate(s)Comments/DispositionSTP-302-1602 ENS-SWG1A-62-6 09/19/1997Relay failed calibration and was replaced per CR 97-1494 and MAI 313634 7.1.5Per the methodology of Section 4.1.1.11 of Reference 4.1.3, drift is computed by subtracting the As Left data of one calibration from the As Found data of the next calibration, as documented in pages 7 through 9 of Attachment 1. These pages also document the time interval between calibrations (in the number of days and months) by subtracting the As Left date of one calibration from the As Found date of the next calibration, per Section 4.1.1.10 of Reference 4.1.3. Pages 7 through 9 of Attachment 1 import the Sequence ID, the Tag No., the AF / AL flags, the dates of calibration and the As Found and As Left data from pages 1 through 3 of theAddendum and computes the interval between calibrations. Pages 7 and 8 of Attachment 1 compute the drift values and summarize the time intervals computed.As an example of the equations used, the first drift value and time interval are computed as follows. The rest of the values are computed identically. Drift (Seq 1) = AF (02/17/08) - AL (05/08/06) [For Tag ENS-SWG1A-62-1] = 97.167 (From Seq. 1 on Left) - 97.833 (From Seq. 4 on Left) = -0.6667 % Setpoint Cal Interval (Seq 1) = 02/17/08 - 05/08/06 = 650 Days Cal Interval (Mo.) = Cal Interval (Days) x 12 Months / 365.25 Days = 21.4 Months 7.1.6Specific pooling tests are performed on the data as documented on page 12 of Attachment 1. The data is split into three groups by setpoint and model number.The specific groups analyzed are as follows:

1) ENS-SWG1(A-B)-62-1 relays with a setpoint of 3 seconds (Model ITE-62K) 2) ENS-SWG1(A-B)-62-6 relays with a setpoint of 3 seconds (Model ITE-62L) 3) ENS-SWG1(A-B)-62-2 relays with a setpoint of 57.8 and 60 seconds (Model ITE-62K) The pooling tests determine the acceptability of combining the data from the different model numbers and setpoints into one data set for analysis. First, to test for the difference in model numbers, group 1 is tested versus group 2. These groups have identical setpoints, and this test should isolate the difference to the model number. The second test is performed for the data from groups 1 and 2 versus group 3, to test for the difference in setpoints. In each case, a t Test is DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 12 OF 14 performed per Section 3.5.4 of Reference 4.1.3, to determine acceptability for pooling, between the groups on page 12 of Attachment 1. For both tests, the t Statistic is less than the t Critical two-tail value, indicating that combination of the groups for analysis is appropriate. The means and standard deviations are reasonably similar. From an engineering standpoint, all data should combine appropriately in units of % Setpoint, and the t Tests confirm this hypothesis.Therefore, all of the data is combined for analysis in units of % Setpoint. 7.2Determination of Outliers and Statistical Summary 7.2.1The outlier analysis is recorded on pages 10 and 11 of Attachment 1 to this drift analysis. This page displays the Sequence No., Tag No., Drift, and Calibration Interval (in units of Days). The critical T value used in the outlier analysis comes directly from Table 2 of Reference 4.1.3. As shown on page 10 of Attachment 1, no outliers are detected. The Final Data Set (FDS) for this analysis is documented on pages 10 and 11 of Attachment 1 and is identical to the original data set. 7.2.2A summary of the required statistical values for the Final Data Set, per Section 4.2 of Reference 4.1.3, is developed on page 10 of Attachment 1. Cell formulas for the determinations of statistical quantities are used directly from Section 4.2 of Reference4.1.3.7.3Tests for Normality 7.3.1Since the FDS contains less than 50 samples, the W Test is performed on the data to test for normality, as shown on page 13 of Attachment 1. Per the methodology of Section 3.7.2 of Reference 4.1.3, the details of the W Test methodology are shown in Reference 4.1.7. Equations used are listed on page 13 of Attachment 1. Since the calculated W statistic (0.9576) is greater than the critical value for W (0.9420), this test does not reject the assumption of normality for this data set. Therefore, the data is established as normally distributed, and no coverage analysis is necessary. 7.3.2Since the W Test did not reject the assumption of normality, a Coverage Analysis is not necessary, but a Histogram is developed for information only. The Histogram is developed and documented on pages 14 and 15 of Attachment 1, per Sections 3.7.5 and 4.4 of Reference 4.1.3. To generate the Histogram data, the drift values are categorized into 12 bins, in relation to the mean and standard deviation. These bins are generated in multiples of 1/2 Standard Deviation increments, and the bin maximum values are derived in accordance with the methods given in Section 19 of Reference4.1.4. (See page 14of Attachment 1 for specific formulas used for the maximums.)

The expected populations within each bin are developed from normal distribution percentages, as shown on page 14 of Attachment 1. The data passes normality test and the results are displayed in the Histogram on page 15 of Attachment 1.

DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 13 OF 14 7.4Time-Dependency7.4.1In order to determine time-dependency of the drift data, the data is first plotted as a scatter plot on page 16 of Attachment 1, in accordance with the methodology of Section 4.5.1 of Reference 4.1.3. The trend line within this scatter plot starts at a small negative value and crosses zero near the end of the analysis period. The data scatter appears to increase over time. The trend line and the associated equation are noted on the scatter plot on page 16 of Attachment 1. 7.4.2The binning analysis is performed on pages 17 and 18 of Attachment 1. The drift and time interval data are divided into bins, based on the intervals between calibrations as defined in Section 3.8.3.1 of Reference 4.1.3. Statistical summaries for each bin, including count, mean, standard deviation, mean time interval and maximum observed time interval are computed. Excel functions are used to determine the statistical summary values for each bin, and are used explicitly from Sections 4.2.1, 4.2.2, 4.2.3 and 4.2.7 of Reference 4.1.3. This information is presented on page 17 of Attachment 1. Per Section 3.8.3.4 of Reference 4.1.3,after removing those bins with 5 or less data points and those with less than or equal to 10% of total population, only Bins 4 and 5 remain. Page 18 of Attachment 1 displays a plot of the mean and standard deviations of the drift data versus the average time interval between calibrations for the subject bins, in accordance with Section 4.5.2 of Reference 4.1.3. It also provides all of the binning parameters and statistics that are a part of the binning analysis. The mean value of the data starts from a negative value in Bin 4 and barely crosses zero for Bin 5. This represents a decrease in the magnitude of the mean which is not indicative of time dependency. Also, from this plot, the standard deviationincreasesfrom Bin 4 to Bin 5. In addition, the ratio of the variances (Bin 5 / Bin 4) is compared to the F critical value, as directed by Section 4.5.2 of Reference 4.1.3. Only the standard deviation plot could be indicative of potential time dependency, but strong time dependency is not indicated from the variance test (Sections 3.8.3.4 and 4.5.2 of Reference 4.1.3).7.4.3Per Section 3.8.4 of Reference 4.1.3, a drift regression analysis is performed within pages 19 and 20 of Attachment 1. The equations and functions used by Excel are taken specifically from Section 3.8.4 of Reference 4.1.3. The regression analysis output shows an R Squared Value (0.002014) less than 0.09, a P Value greater than 0.05 (0.777790) and F Value (0.080720) less than F Critical (3.231727).These results all indicate that the bias portion of the drift is not time dependent. The regression line crosses zero within the analysis period, which per the last paragraph of Section 3.8.4 of Reference 4.1.3, is not expected and is an improper model of the drift-versus-time characteristic of the device. The fact that this is an improper model of the drift-versus-time characteristic of the device would override any conclusions based on the three statistical tests. The bias portion of drift is conservatively treated as moderately time dependent for the purpose of extrapolation. 7.4.4Per Section 3.8.4 of Reference 4.1.3, an absolute value drift regression analysis is performed within pages 21 and 22 of Attachment 1. The drift data is converted into absolute value via the Excel ABS function for each drift data value. The equations and functions used by Excel for the Regression analysis are taken specifically from Section 3.8.4 of Reference 4.1.3. This regression analysis output shows an R Squared Value (0.004453) less than 0.09, a P Value (0.674582) greater than 0.05, DRIFT ANALYSISG13.18.6.3-009ENGINEERING DEPARTMENT Revision 0 RIVER BEND STATION PAGE 14 OF 14 and an F Value (0.178904) less than F Critical (3.231727). These results all indicate a random portion of drift that is not time-dependent. The absolute value drift regression line increases over time, and the binning plot shows an increasing standard deviation over time. Based on these results, per Section 3.8.4 of Reference4.1.3, the random portion of drift is conservatively treated as moderately time-dependent for the purpose of extrapolation. 7.5Analyzed Drift (DA) Derivation and Characterization 7.5.1As shown on page 23 of Attachment 1, per Section 3.11 of Reference 4.1.3, the drift bias error is evaluated for significance. The critical value for significance of the bias term is computed and shown therein. The bias is determined to be negligible.Therefore, the computed Analyzed Drift Bias term (DAbias) is negligible. 7.5.2Per Section 4.6.6 of Reference 4.1.3, the random portion of the Analyzed Drift is determined from multiplying the standard deviation of Bin 5 by the Tolerance Interval Factor (TIF) and extrapolating as required to a calibration interval of 30 months. No normality adjustment is required per section 6.3.1. The random portion of drift has been determined to be moderately time-dependent for the purpose of extrapolation. For conservatism, the standard deviation of Bin 5 is used with the average observed time interval from Bin 5 on page 17 of Attachment 1 as the starting point. The TIF is obtained from Table 1 of Reference 4.1.3 as 2.445 for a 95/95 significance. The computation of this value is shown on page 23 of Attachment 1 to result in a DArandom (extrap) term of ! 2.072 % Setpointfor a 30 month (24 months + 25%) calibration interval. 8AttachmentsAttachment 1 - Analysis Spreadsheet (23 pages) Spreadsheet Contents: PagesInput Data 1-3Data Conversion 4-6AF-AL Data 7-9Outliers & Summary 10-11Pooling Tests 12W Test 13Histogram14-15Scatter Plot 16Binning Analysis 17-18Regression - Drift 19-20Regression - AV of Drift 21-22Analyzed Drift (DA) 23Attachment 2 - DVR Form (8 pages)

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysInput DataG13.18.6.3-009 Rev. 0Attachment 1Page 1 of 23Seq. IDTag IDDateProcedureMake/ModelAF/ ALSetptAF / AL DataUnitsComments1ENS-SWG1A-62-12/17/2008STP-302-1600ABB ITE-62KAF3.02.9150sec2ENS-SWG1A-62-12/17/2008STP-302-1600ABB ITE-62KAL3.02.9160sec3ENS-SWG1A-62-15/8/2006STP-302-1600ABB ITE-62KAF3.02.9300sec4ENS-SWG1A-62-15/8/2006STP-302-1600ABB ITE-62KAL3.02.9350sec5ENS-SWG1A-62-111/11/2004STP-302-1600ABB ITE-62KAF3.02.9200sec6ENS-SWG1A-62-111/11/2004STP-302-1600ABB ITE-62KAL3.02.9300sec7ENS-SWG1A-62-13/29/2003STP-302-1600ABB ITE-62KAF3.02.9200sec8ENS-SWG1A-62-13/29/2003STP-302-1600ABB ITE-62KAL3.02.9200sec9ENS-SWG1A-62-19/27/2001STP-302-1600ABB ITE-62KAF3.02.9200sec10ENS-SWG1A-62-19/27/2001STP-302-1600ABB ITE-62KAL3.02.9200sec11ENS-SWG1A-62-13/10/2000STP-302-1600ABB ITE-62KAF3.02.9300sec12ENS-SWG1A-62-13/10/2000STP-302-1600ABB ITE-62KAL3.02.9300sec13ENS-SWG1A-62-14/21/1999STP-302-1600ABB ITE-62KAF3.02.9400sec14ENS-SWG1A-62-14/21/1999STP-302-1600ABB ITE-62KAL3.02.9400sec15ENS-SWG1A-62-19/19/1997STP-302-1600ABB ITE-62KAF3.02.9400sec16ENS-SWG1A-62-19/19/1997STP-302-1600ABB ITE-62KAL3.02.9400sec17ENS-SWG1A-62-22/17/2008STP-302-1602ABB ITE-62KAF57.859.1040sec18ENS-SWG1A-62-22/17/2008STP-302-1602ABB ITE-62KAL57.859.0850sec19ENS-SWG1A-62-25/8/2006STP-302-1602ABB ITE-62KAF57.859.2000sec20ENS-SWG1A-62-25/8/2006STP-302-1602ABB ITE-62KAL57.859.0800sec21ENS-SWG1A-62-211/11/2004STP-302-1602ABB ITE-62KAF57.858.9400sec22ENS-SWG1A-62-211/11/2004STP-302-1602ABB ITE-62KAL57.858.9400sec23ENS-SWG1A-62-23/28/2003STP-302-1602ABB ITE-62KAF60.059.2900secSetpoint set halfway between MIN and MAX. Setpoint changed from 60 sec to 57.8 sec.24ENS-SWG1A-62-23/28/2003STP-302-1602ABB ITE-62KAL57.859.2600sec25ENS-SWG1A-62-29/27/2001STP-302-1602ABB ITE-62KAF60.059.1700secSetpoint set halfway between MIN and MAX.26ENS-SWG1A-62-29/27/2001STP-302-1602ABB ITE-62KAL60.059.2500sec27ENS-SWG1A-62-23/10/2000STP-302-1602ABB ITE-62KAF60.059.5000secSetpoint set halfway between MIN and MAX.28ENS-SWG1A-62-23/10/2000STP-302-1602ABB ITE-62KAL60.059.5000sec29ENS-SWG1A-62-24/21/1999STP-302-1602ABB ITE-62KAF60.059.6500secSetpoint set halfway between MIN and MAX.30ENS-SWG1A-62-24/21/1999STP-302-1602ABB ITE-62KAL60.059.7300sec31ENS-SWG1A-62-29/19/1997STP-302-1602ABB ITE-62KAF60.059.8300secSetpoint set halfway between MIN and MAX.32ENS-SWG1A-62-29/19/1997STP-302-1602ABB ITE-62KAL60.059.8800sec33ENS-SWG1A-62-62/17/2008STP-302-1602ABB ITE-62LAF3.02.9700sec34ENS-SWG1A-62-62/17/2008STP-302-1602ABB ITE-62LAL3.02.9700sec35ENS-SWG1A-62-65/8/2006STP-302-1602ABB ITE-62LAF3.02.9900sec36ENS-SWG1A-62-65/8/2006STP-302-1602ABB ITE-62LAL3.02.9900sec37ENS-SWG1A-62-611/11/2004STP-302-1602ABB ITE-62LAF3.03.0100sec DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysInput DataG13.18.6.3-009 Rev. 0Attachment 1Page 2 of 23Seq. IDTag IDDateProcedureMake/ModelAF/ ALSetptAF / AL DataUnitsComments38ENS-SWG1A-62-611/11/2004STP-302-1602ABB ITE-62LAL3.03.0100sec39ENS-SWG1A-62-63/28/2003STP-302-1602ABB ITE-62LAF3.02.9900sec40ENS-SWG1A-62-63/28/2003STP-302-1602ABB ITE-62LAL3.02.9800sec41ENS-SWG1A-62-69/27/2001STP-302-1602ABB ITE-62LAF3.02.9800sec42ENS-SWG1A-62-69/27/2001STP-302-1602ABB ITE-62LAL3.02.9800sec43ENS-SWG1A-62-63/10/2000STP-302-1602ABB ITE-62LAF3.02.9800sec44ENS-SWG1A-62-63/10/2000STP-302-1602ABB ITE-62LAL3.02.9800sec45ENS-SWG1A-62-64/21/1999STP-302-1602ABB ITE-62LAF3.02.9600sec46ENS-SWG1A-62-64/21/1999STP-302-1602ABB ITE-62LAL3.02.9600sec47ENS-SWG1A-62-69/19/1997STP-302-1602ABB ITE-62LAF3.0FAILsecRelay failed calibration and was replaced per CR 97-1494 and MAI 313634.48ENS-SWG1A-62-69/19/1997STP-302-1602ABB ITE-62LAL3.02.9990sec49ENS-SWG1B-62-12/1/2008STP-302-1601ABB ITE-62KAF3.02.9900sec50ENS-SWG1B-62-12/1/2008STP-302-1601ABB ITE-62KAL3.02.9900sec51ENS-SWG1B-62-14/29/2006STP-302-1601ABB ITE-62KAF3.02.9900sec52ENS-SWG1B-62-14/29/2006STP-302-1601ABB ITE-62KAL3.02.9900sec53ENS-SWG1B-62-110/31/2004STP-302-1601ABB ITE-62KAF3.02.9500sec54ENS-SWG1B-62-110/31/2004STP-302-1601ABB ITE-62KAL3.02.9400sec55ENS-SWG1B-62-13/20/2003STP-302-1601ABB ITE-62KAF3.02.9100sec56ENS-SWG1B-62-13/20/2003STP-302-1601ABB ITE-62KAL3.02.9200sec57ENS-SWG1B-62-110/6/2001STP-302-1601ABB ITE-62KAF3.02.9500sec58ENS-SWG1B-62-110/6/2001STP-302-1601ABB ITE-62KAL3.02.9300sec59ENS-SWG1B-62-13/25/2000STP-302-1601ABB ITE-62KAF3.02.9190sec60ENS-SWG1B-62-13/25/2000STP-302-1601ABB ITE-62KAL3.02.9180sec61ENS-SWG1B-62-14/30/1999STP-302-1601ABB ITE-62KAF3.02.9400sec62ENS-SWG1B-62-14/30/1999STP-302-1601ABB ITE-62KAL3.02.9400sec63ENS-SWG1B-62-110/4/1997STP-302-1601ABB ITE-62KAF3.02.9660sec64ENS-SWG1B-62-110/4/1997STP-302-1601ABB ITE-62KAL3.02.9400sec65ENS-SWG1B-62-22/1/2008STP-302-1603ABB ITE-62KAF57.859.3100sec66ENS-SWG1B-62-22/1/2008STP-302-1603ABB ITE-62KAL57.859.2700sec67ENS-SWG1B-62-24/29/2006STP-302-1603ABB ITE-62KAF57.858.6700sec68ENS-SWG1B-62-24/29/2006STP-302-1603ABB ITE-62KAL57.859.0600sec69ENS-SWG1B-62-210/31/2004STP-302-1603ABB ITE-62KAF57.859.2100sec70ENS-SWG1B-62-210/31/2004STP-302-1603ABB ITE-62KAL57.859.1400sec71ENS-SWG1B-62-23/21/2003STP-302-1603ABB ITE-62KAF60.060.9700secSetpoint changed from 60.0 sec to 57.8 sec.72ENS-SWG1B-62-23/21/2003STP-302-1603ABB ITE-62KAL57.858.5900sec73ENS-SWG1B-62-210/6/2001STP-302-1603ABB ITE-62KAF60.060.9200secSetpoint set halfway between MIN and MAX. 74ENS-SWG1B-62-210/6/2001STP-302-1603ABB ITE-62KAL60.060.9300sec DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysInput DataG13.18.6.3-009 Rev. 0Attachment 1Page 3 of 23Seq. IDTag IDDateProcedureMake/ModelAF/ ALSetptAF / AL DataUnitsComments75ENS-SWG1B-62-23/25/2000STP-302-1603ABB ITE-62KAF60.060.9100secSetpoint set halfway between MIN and MAX.76ENS-SWG1B-62-23/25/2000STP-302-1603ABB ITE-62KAL60.060.6400sec77ENS-SWG1B-62-24/30/1999STP-302-1603ABB ITE-62KAF60.061.1000secSetpoint set halfway between MIN and MAX.78ENS-SWG1B-62-24/30/1999STP-302-1603ABB ITE-62KAL60.060.8400sec79ENS-SWG1B-62-210/4/1997STP-302-1603ABB ITE-62KAF60.066.7200secSetpoint set halfway between MIN and MAX.80ENS-SWG1B-62-210/4/1997STP-302-1603ABB ITE-62KAL60.060.4000sec81ENS-SWG1B-62-62/1/2008STP-302-1603ABB ITE-62LAF3.03.0300sec82ENS-SWG1B-62-62/1/2008STP-302-1603ABB ITE-62LAL3.03.0300sec83ENS-SWG1B-62-64/29/2006STP-302-1603ABB ITE-62LAF3.03.0300sec84ENS-SWG1B-62-64/29/2006STP-302-1603ABB ITE-62LAL3.03.0300sec85ENS-SWG1B-62-610/31/2004STP-302-1603ABB ITE-62LAF3.03.0100sec86ENS-SWG1B-62-610/31/2004STP-302-1603ABB ITE-62LAL3.03.0200sec87ENS-SWG1B-62-63/21/2003STP-302-1603ABB ITE-62LAF3.03.0100sec88ENS-SWG1B-62-63/21/2003STP-302-1603ABB ITE-62LAL3.03.0200sec89ENS-SWG1B-62-610/6/2001STP-302-1603ABB ITE-62LAF3.03.0200sec90ENS-SWG1B-62-610/6/2001STP-302-1603ABB ITE-62LAL3.03.0300sec91ENS-SWG1B-62-63/25/2000STP-302-1603ABB ITE-62LAF3.03.0200sec92ENS-SWG1B-62-63/25/2000STP-302-1603ABB ITE-62LAL3.03.0250sec93ENS-SWG1B-62-64/30/1999STP-302-1603ABB ITE-62LAF3.02.8800sec94ENS-SWG1B-62-64/30/1999STP-302-1603ABB ITE-62LAL3.03.0200sec95ENS-SWG1B-62-610/4/1997STP-302-1603ABB ITE-62LAF3.02.9100sec96ENS-SWG1B-62-610/4/1997STP-302-1603ABB ITE-62LAL3.02.9100sec DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysData ConversionG13.18.6.3-009 Rev. 0Attachment 1Page 4 of 23Seq. IDTag IDDateAF/ ALSetpoint(Seconds)AF / AL Data(Seconds)AF / AL Data(% Setpoint) [(AF AL)/SP

Setpoint changed from 60 sec to 57.8 sec.24ENS-SWG1A-62-23/28/03AL57.8059.260102.526 25ENS-SWG1A-62-29/27/01AF60.0059.17098.617Setpoint set halfway between MIN and MAX.26ENS-SWG1A-62-29/27/01AL60.0059.25098.750 27ENS-SWG1A-62-23/10/00AF60.0059.50099.167Setpoint set halfway between MIN and MAX.28ENS-SWG1A-62-23/10/00AL60.0059.50099.167 29ENS-SWG1A-62-24/21/99AF60.0059.65099.417Setpoint set halfway between MIN and MAX.30ENS-SWG1A-62-24/21/99AL60.0059.73099.550 DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysData ConversionG13.18.6.3-009 Rev. 0Attachment 1Page 5 of 23Seq. IDTag IDDateAF/ ALSetpoint(Seconds)AF / AL Data(Seconds)AF / AL Data(% Setpoint) [(AF AL)/SP

  • 100]Notes66ENS-SWG1B-62-22/1/08AL57.8059.270102.543 67ENS-SWG1B-62-24/29/06AF57.8058.670101.505 68ENS-SWG1B-62-24/29/06AL57.8059.060102.180 69ENS-SWG1B-62-210/31/04AF57.8059.210102.439 70ENS-SWG1B-62-210/31/04AL57.8059.140102.318 71ENS-SWG1B-62-23/21/03AF60.0060.970101.617Setpoint changed from 60.0 sec to 57.8 sec.72ENS-SWG1B-62-23/21/03AL57.8058.590101.367 73ENS-SWG1B-62-210/6/01AF60.0060.920101.533Setpoint set halfway between MIN and MAX. 74ENS-SWG1B-62-210/6/01AL60.0060.930101.550 75ENS-SWG1B-62-23/25/00AF60.0060.910101.517Setpoint set halfway between MIN and MAX.76ENS-SWG1B-62-23/25/00AL60.0060.640101.067 77ENS-SWG1B-62-24/30/99AF60.0061.100101.833Setpoint set halfway between MIN and MAX.78ENS-SWG1B-62-24/30/99AL60.0060.840101.400 79ENS-SWG1B-62-210/4/97AF60.0066.720111.200Setpoint set halfway between MIN and MAX.80ENS-SWG1B-62-210/4/97AL60.0060.400100.667 81ENS-SWG1B-62-62/1/08AF3.003.030101.000 82ENS-SWG1B-62-62/1/08AL3.003.030101.000 83ENS-SWG1B-62-64/29/06AF3.003.030101.000 84ENS-SWG1B-62-64/29/06AL3.003.030101.000 85ENS-SWG1B-62-610/31/04AF3.003.010100.333 86ENS-SWG1B-62-610/31/04AL3.003.020100.667 87ENS-SWG1B-62-63/21/03AF3.003.010100.333 88ENS-SWG1B-62-63/21/03AL3.003.020100.667 89ENS-SWG1B-62-610/6/01AF3.003.020100.667 90ENS-SWG1B-62-610/6/01AL3.003.030101.000 91ENS-SWG1B-62-63/25/00AF3.003.020100.667 92ENS-SWG1B-62-63/25/00AL3.003.025100.833 93ENS-SWG1B-62-64/30/99AF3.002.88096.000 94ENS-SWG1B-62-64/30/99AL3.003.020100.667 95ENS-SWG1B-62-610/4/97AF3.002.91097.000 96ENS-SWG1B-62-610/4/97AL3.002.91097.000 DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysAF-AL DataG13.18.6.3-009 Rev. 0Attachment 1Page 7 of 23Seq. CAL DATE AF/ALAF/AL DATA VALUEOUTLIERS COMMENTSSeq.DRIFT = (Current Cal AF Data - Prev Cal AL Data)IDMake/Model NumberTag IDmm/dd/yyStatus(% Setpoint)DaysMonthsIDTag ID(% Setpoint)DaysMonths1ABB ITE-62KENS-SWG1A-62-102/17/08AF97.16765021.41ENS-SWG1A-62-1-0.666765021.42ABB ITE-62KENS-SWG1A-62-102/17/08AL97.2003ENS-SWG1A-62-10.000054317.83ABB ITE-62KENS-SWG1A-62-105/08/06AF97.66754317.85ENS-SWG1A-62-10.000059319.54ABB ITE-62KENS-SWG1A-62-105/08/06AL97.8337ENS-SWG1A-62-10.000054818.05ABB ITE-62KENS-SWG1A-62-111/11/04AF97.33359319.59ENS-SWG1A-62-1-0.333356618.66ABB ITE-62KENS-SWG1A-62-111/11/04AL97.66711ENS-SWG1A-62-1-0.333332410.67ABB ITE-62KENS-SWG1A-62-103/29/03AF97.33354818.013ENS-SWG1A-62-10.000057919.08ABB ITE-62KENS-SWG1A-62-103/29/03AL97.333 9ABB ITE-62KENS-SWG1A-62-109/27/01AF97.33356618.617ENS-SWG1A-62-20.041565021.410ABB ITE-62KENS-SWG1A-62-109/27/01AL97.33319ENS-SWG1A-62-20.449854317.811ABB ITE-62KENS-SWG1A-62-103/10/00AF97.66732410.621ENS-SWG1A-62-2-0.553659419.512ABB ITE-62KENS-SWG1A-62-103/10/00AL97.66723ENS-SWG1A-62-20.066754718.013ABB ITE-62KENS-SWG1A-62-104/21/99AF98.00057919.025ENS-SWG1A-62-2-0.550056618.614ABB ITE-62KENS-SWG1A-62-104/21/99AL98.00027ENS-SWG1A-62-2-0.383332410.615ABB ITE-62KENS-SWG1A-62-109/19/97AF98.00029ENS-SWG1A-62-2-0.383357919.016ABB ITE-62KENS-SWG1A-62-109/19/97AL98.000 17ABB ITE-62KENS-SWG1A-62-202/17/08AF102.25665021.433ENS-SWG1A-62-6-0.666765021.418ABB ITE-62KENS-SWG1A-62-202/17/08AL102.22335ENS-SWG1A-62-6-0.666754317.819ABB ITE-62KENS-SWG1A-62-205/08/06AF102.42254317.837ENS-SWG1A-62-61.000059419.520ABB ITE-62KENS-SWG1A-62-205/08/06AL102.21539ENS-SWG1A-62-60.333354718.021ABB ITE-62KENS-SWG1A-62-211/11/04AF101.97259419.541ENS-SWG1A-62-60.000056618.622ABB ITE-62KENS-SWG1A-62-211/11/04AL101.97243ENS-SWG1A-62-60.666732410.623ABB ITE-62KENS-SWG1A-62-203/28/03AF98.81754718.045ENS-SWG1A-62-6-1.300057919.024ABB ITE-62KENS-SWG1A-62-203/28/03AL102.526 25ABB ITE-62KENS-SWG1A-62-209/27/01AF98.61756618.649ENS-SWG1B-62-10.000064321.126ABB ITE-62KENS-SWG1A-62-209/27/01AL98.75051ENS-SWG1B-62-11.666754517.927ABB ITE-62KENS-SWG1A-62-203/10/00AF99.16732410.653ENS-SWG1B-62-11.000059119.428ABB ITE-62KENS-SWG1A-62-203/10/00AL99.16755ENS-SWG1B-62-1-0.666753017.429ABB ITE-62KENS-SWG1A-62-204/21/99AF99.41757919.057ENS-SWG1B-62-11.066756018.430ABB ITE-62KENS-SWG1A-62-204/21/99AL99.55059ENS-SWG1B-62-1-0.700033010.831ABB ITE-62KENS-SWG1A-62-209/19/97AF99.71761ENS-SWG1B-62-10.000057318.832ABB ITE-62KENS-SWG1A-62-209/19/97AL99.800 33ABB ITE-62LENS-SWG1A-62-602/17/08AF99.00065021.465ENS-SWG1B-62-20.432564321.134ABB ITE-62LENS-SWG1A-62-602/17/08AL99.00067ENS-SWG1B-62-2-0.813154517.9CAL INTERVAL = (Current Date - Previous Date)CAL INTERVAL = (Current Date - Previous Date)

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysAF-AL DataG13.18.6.3-009 Rev. 0Attachment 1Page 8 of 23Seq. CAL DATE AF/ALAF/AL DATA VALUEOUTLIERS COMMENTSSeq.DRIFT = (Current Cal AF Data - Prev Cal AL Data)IDMake/Model NumberTag IDmm/dd/yyStatus(% Setpoint)DaysMonthsIDTag ID(% Setpoint)DaysMonthsCAL INTERVAL = (Current Date - Previous Date)CAL INTERVAL = (Current Date - Previous Date)35ABB ITE-62LENS-SWG1A-62-605/08/06AF99.66754317.869ENS-SWG1B-62-21.072759019.436ABB ITE-62LENS-SWG1A-62-605/08/06AL99.66771ENS-SWG1B-62-20.066753117.437ABB ITE-62LENS-SWG1A-62-611/11/04AF100.33359419.573ENS-SWG1B-62-20.466756018.438ABB ITE-62LENS-SWG1A-62-611/11/04AL100.33375ENS-SWG1B-62-20.116733010.839ABB ITE-62LENS-SWG1A-62-603/28/03AF99.66754718.077ENS-SWG1B-62-21.166757318.840ABB ITE-62LENS-SWG1A-62-603/28/03AL99.333 41ABB ITE-62LENS-SWG1A-62-609/27/01AF99.33356618.681ENS-SWG1B-62-60.000064321.142ABB ITE-62LENS-SWG1A-62-609/27/01AL99.33383ENS-SWG1B-62-60.333354517.943ABB ITE-62LENS-SWG1A-62-603/10/00AF99.33332410.685ENS-SWG1B-62-6-0.333359019.444ABB ITE-62LENS-SWG1A-62-603/10/00AL99.33387ENS-SWG1B-62-6-0.666753117.445ABB ITE-62LENS-SWG1A-62-604/21/99AF98.66757919.089ENS-SWG1B-62-6-0.166756018.446ABB ITE-62LENS-SWG1A-62-604/21/99AL98.66791ENS-SWG1B-62-60.000033010.847ABB ITE-62LENS-SWG1A-62-609/19/97AFFAIL93ENS-SWG1B-62-6-1.000057318.848ABB ITE-62LENS-SWG1A-62-609/19/97AL99.967 49ABB ITE-62KENS-SWG1B-62-102/01/08AF99.66764321.1 50ABB ITE-62KENS-SWG1B-62-102/01/08AL99.667 51ABB ITE-62KENS-SWG1B-62-104/29/06AF99.66754517.9 52ABB ITE-62KENS-SWG1B-62-104/29/06AL99.667 53ABB ITE-62KENS-SWG1B-62-110/31/04AF98.33359119.4 54ABB ITE-62KENS-SWG1B-62-110/31/04AL98.000 55ABB ITE-62KENS-SWG1B-62-103/20/03AF97.00053017.4 56ABB ITE-62KENS-SWG1B-62-103/20/03AL97.333 57ABB ITE-62KENS-SWG1B-62-110/06/01AF98.33356018.4 58ABB ITE-62KENS-SWG1B-62-110/06/01AL97.667 59ABB ITE-62KENS-SWG1B-62-103/25/00AF97.30033010.8 60ABB ITE-62KENS-SWG1B-62-103/25/00AL97.267 61ABB ITE-62KENS-SWG1B-62-104/30/99AF98.00057318.8 62ABB ITE-62KENS-SWG1B-62-104/30/99AL98.000 63ABB ITE-62KENS-SWG1B-62-110/04/97AF98.867 64ABB ITE-62KENS-SWG1B-62-110/04/97AL98.000 65ABB ITE-62KENS-SWG1B-62-202/01/08AF102.61264321.1 66ABB ITE-62KENS-SWG1B-62-202/01/08AL102.543 67ABB ITE-62KENS-SWG1B-62-204/29/06AF101.50554517.9 68ABB ITE-62KENS-SWG1B-62-204/29/06AL102.180 DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysAF-AL DataG13.18.6.3-009 Rev. 0Attachment 1Page 9 of 23Seq. CAL DATE AF/ALAF/AL DATA VALUEOUTLIERS COMMENTSSeq.DRIFT = (Current Cal AF Data - Prev Cal AL Data)IDMake/Model NumberTag IDmm/dd/yyStatus(% Setpoint)DaysMonthsIDTag ID(% Setpoint)DaysMonthsCAL INTERVAL = (Current Date - Previous Date)CAL INTERVAL = (Current Date - Previous Date)69ABB ITE-62KENS-SWG1B-62-210/31/04AF102.43959019.4 70ABB ITE-62KENS-SWG1B-62-210/31/04AL102.318 71ABB ITE-62KENS-SWG1B-62-203/21/03AF101.61753117.4 72ABB ITE-62KENS-SWG1B-62-203/21/03AL101.367 73ABB ITE-62KENS-SWG1B-62-210/06/01AF101.53356018.4 74ABB ITE-62KENS-SWG1B-62-210/06/01AL101.550 75ABB ITE-62KENS-SWG1B-62-203/25/00AF101.51733010.8 76ABB ITE-62KENS-SWG1B-62-203/25/00AL101.067 77ABB ITE-62KENS-SWG1B-62-204/30/99AF101.83357318.8 78ABB ITE-62KENS-SWG1B-62-204/30/99AL101.400 79ABB ITE-62KENS-SWG1B-62-210/04/97AF111.200 80ABB ITE-62KENS-SWG1B-62-210/04/97AL100.667 81ABB ITE-62LENS-SWG1B-62-602/01/08AF101.00064321.1 82ABB ITE-62LENS-SWG1B-62-602/01/08AL101.000 83ABB ITE-62LENS-SWG1B-62-604/29/06AF101.00054517.9 84ABB ITE-62LENS-SWG1B-62-604/29/06AL101.000 85ABB ITE-62LENS-SWG1B-62-610/31/04AF100.33359019.4 86ABB ITE-62LENS-SWG1B-62-610/31/04AL100.667 87ABB ITE-62LENS-SWG1B-62-603/21/03AF100.33353117.4 88ABB ITE-62LENS-SWG1B-62-603/21/03AL100.667 89ABB ITE-62LENS-SWG1B-62-610/06/01AF100.66756018.4 90ABB ITE-62LENS-SWG1B-62-610/06/01AL101.000 91ABB ITE-62LENS-SWG1B-62-603/25/00AF100.66733010.8 92ABB ITE-62LENS-SWG1B-62-603/25/00AL100.833 93ABB ITE-62LENS-SWG1B-62-604/30/99AF96.00057318.8 94ABB ITE-62LENS-SWG1B-62-604/30/99AL100.667 95ABB ITE-62LENS-SWG1B-62-610/04/97AF97.000 96ABB ITE-62LENS-SWG1B-62-610/04/97AL97.000 DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysOutliers & SummaryG13.18.6.3-009 Rev. 0Attachment 1Page 10 of 23Seq. IDTag IDDrift (% Setpoint)Cal Interval (Days)Extreme Studentized Deviate (T)Final Drift Data Set (% Setpoint)Cal Interval (Days)1ENS-SWG1A-62-1-0.66676501.025-0.66676503ENS-SWG1A-62-10.00005430.0090.00005435ENS-SWG1A-62-10.00005930.0090.00005937ENS-SWG1A-62-10.00005480.009Mean (Average)-0.00560.00005489ENS-SWG1A-62-1-0.33335660.508Variance0.416-0.333356611ENS-SWG1A-62-1-0.33333240.508Std. Dev.0.6449-0.333332413ENS-SWG1A-62-10.00005790.009Sample Size (Count)420.0000579Maximum1.6717ENS-SWG1A-62-20.04156500.073Median0.000.041565019ENS-SWG1A-62-20.44985430.706Minimum-1.300.449854321ENS-SWG1A-62-2-0.55365940.850Range2.97-0.553659423ENS-SWG1A-62-20.06675470.112Sum-0.2370.066754725ENS-SWG1A-62-2-0.55005660.844Kurtosis0.104-0.550056627ENS-SWG1A-62-2-0.38333240.586Skewness0.523-0.383332429ENS-SWG1A-62-2-0.38335790.586-0.3833579Critical T-Value (Upper 5% Signif.)2.9233ENS-SWG1A-62-6-0.66676501.025-0.666765035ENS-SWG1A-62-6-0.66675431.025Equation for Each Studentized Deviate: T= lDrift-Meanl/Std. Dev. -0.666754337ENS-SWG1A-62-61.00005941.559Crit T Value Lookup Value from Ref. 4.1.3 Table 2, per sample1.000059439ENS-SWG1A-62-60.33335470.526size. See Sections 3.6.1 and 3.6.2 of Reference 4.1.3.0.333354741ENS-SWG1A-62-60.00005660.009Outliers will be Denoted as such in "Final Data Set" column.0.000056643ENS-SWG1A-62-60.66673241.043No Outliers Detected.0.666732445ENS-SWG1A-62-6-1.30005792.007-1.300057949ENS-SWG1B-62-10.00006430.0090.000064351ENS-SWG1B-62-11.66675452.593Mean (Average)-0.00561.666754553ENS-SWG1B-62-11.00005911.559Variance0.4161.000059155ENS-SWG1B-62-1-0.66675301.025Std. Dev.0.6449-0.666753057ENS-SWG1B-62-11.06675601.663Sample Size (Count)421.066756059ENS-SWG1B-62-1-0.70003301.077Maximum1.67-0.700033061ENS-SWG1B-62-10.00005730.009Median0.000.0000573Minimum-1.3065ENS-SWG1B-62-20.43256430.679Range2.970.432564367ENS-SWG1B-62-2-0.81315451.252Sum-0.237-0.813154569ENS-SWG1B-62-21.07275901.672Kurtosis0.1041.072759071ENS-SWG1B-62-20.06675310.112Skewness0.5230.066753173ENS-SWG1B-62-20.46675600.7320.466756075ENS-SWG1B-62-20.11673300.1900.116733077ENS-SWG1B-62-21.16675731.8181.166757381ENS-SWG1B-62-60.00006430.0090.0000643(Final Data Set)Drift Data Statistics Summary (Initial Data Set)Raw Drift Data Statistics Summary DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysOutliers & SummaryG13.18.6.3-009 Rev. 0Attachment 1Page 11 of 23Seq. IDTag IDDrift (% Setpoint)Cal Interval (Days)Extreme Studentized Deviate (T)Final Drift Data Set (% Setpoint)Cal Interval (Days)83ENS-SWG1B-62-60.33335450.5260.333354585ENS-SWG1B-62-6-0.33335900.508-0.333359087ENS-SWG1B-62-6-0.66675311.025-0.666753189ENS-SWG1B-62-6-0.16675600.250-0.166756091ENS-SWG1B-62-60.00003300.0090.000033093ENS-SWG1B-62-6-1.00005731.542-1.0000573 DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysPooling TestsG13.18.6.3-009 Rev. 0Attachment 1Page 12 of 23Group 1: ENS-SWG1(A,B)-62-1 relays [Setpoint = 3 seconds] Model = ITE-62KGroup 2: ENS-SWG1(A,B)-62-6 relays [Setpoint = 3 seconds] Model = ITE-62LGroup 3: ENS-SWG1(A, B)-62-2 relays [Setpoint = 57.8 and 60 seconds] Model = ITE-62KModel Group 1: ITE-62KSetpoint Group 1, 2: 3 SecModel Group 2: ITE-62LSetpoint Group 3: 60 sec. or 57.8 sec.t-Test: Two-Sample Assuming Unequal Variancest-Test: Two-Sample Assuming Unequal VariancesGroup 1Group 2Group 1,2Group 3Mean0.073809524-0.17619Mean-0.051190.085459Variance0.495415140.414945Variance0.4545250.354231Observations1414Observations2814Hypothesized Mean Difference0Hypothesized Mean Difference0df26df29t Stat0.980386667t Stat-0.6705P(T<=t) one-tail0.167965223P(T<=t) one-tail0.253922t Critical one-tail1.705617901t Critical one-tail1.699127P(T<=t) two-tail0.335930445P(T<=t) two-tail0.507844t Critical two-tail2.055529418t Critical two-tail2.04523StDev0.703857330.644162StDev0.6741850.595173t Stat < t Critical two-tail?TRUEt Stat < t Critical two-tail?TRUESample Means from same pool?TRUESample Means from same pool?TRUEConclusion:Conclusion:The t Statistic is less than the t Critical two-tail value, indicating that combinationThe t Statistic is less than the t Critical two-tail value, indicating that combinationof the groups for analysis is appropriate. The means and standard deviationsof the groups for analysis is appropriate. The means and standard deviationsdeviations are reasonably similar among groups. From an engineering standpoint, deviations are reasonably similar among groups. From an engineering standpoint, all data should combine appropriately in units of % Setpoint, and the t Tests confirm this all data should combine appropriately in units of % Setpoint, and the t Tests confirm this hypothesis. Therefore, all of the data is combined for analysis in units of % Setpoint.hypothesis. Therefore, all of the data is combined for analysis in units of % Setpoint.

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysW TestG13.18.6.3-009 Rev. 0Attachment 1Page 13 of 23DriftValues"i"an-i+1*b i (Per Step 4)-1.300010.39171.1620Specific W Normality Test Methodology from Reference 4.1.7 and Section 19 of Reference 4.1.4-1.000020.27010.5852

-0.813130.23450.4422Steps to Perform:-0.700040.20850.36841.Paste all final drift data into column 1.-0.666750.18740.31232.Sort in ascending order.-0.666760.16940.28233.Calculate S 2takin g the variance of the drift data ad justed by(Count-1)-0.666770.15350.2047

-0.666780.13920.1578 S 2=(n-1)(Variance (Drift))-0.666790.12590.1406

-0.5536100.11360.1120where:n = Count-0.5500110.10200.0901

-0.3833120.09090.06514.Calculate the Quantity b:-0.3833130.08040.0402

-0.3333140.07010.0280b = Sum[(an-i+1)(xn-i+1 - x i)]-0.3333150.06020.0241

-0.3333160.05060.0190where:i = 1 to k-0.1667170.04110.0068k = (n)/20.0000180.03180.0000 x i = Drift value at point number i0.0000190.02270.0000 an-i+1 values are taken from Table 1 of Reference 4.1.70.0000200.01360.00005.Calculate b 2.0.0000210.00450.00006.Compute the W Statistic and compare to the critical value at the 5% confidence0.0000level. The table of critical values is given as Table 2 on page 9 of Reference 4.1.7.0.0000b = 4.04090.0000(Per Step 4)0.0000* From Table 1 of Ref. 4.1.7 0.0000W = b 2/S 2Results:0.0415Since the W statistic, 0.9576, is greater than the0.0667Computed Valuescritical value for W, 0.9420, this test does not 0.0667 S 2=17.0515reject the assumption of normality for this data set.0.1167b = 4.04090.3333 b 2 = 16.32890.3333Count (n):420.4325W = b 2/S 2 = 0.95760.4498W Critical = 0.94205% Significance From Table 2 of Reference 4.1.7.0.4667 0.6667 1.0000 1.0000 1.0667 1.0727 1.1667 1.6667 DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysHistogramG13.18.6.3-009 Rev. 0Attachment 1Page 14 of 23Bin No.Bin DescriptionsNo. StDev (NS)Bin Maximums = Mean + (NS*StDev)Observed FrequencyCumulative Probability (CP i)(Table 18-2 Ref 4.1.4)Normal Distribution Probability (Pnorm = CP i-CPi-1)Expected Frequency (Ei = Pnorm*N)1Up to - 2.5 Standard Deviations from Mean-2.5-1.61800.00620.00620.26042-2.5 to -2.0 Standard Deviations from Mean-2.0-1.29510.02280.01660.69513-2.0 to -1.5 Standard Deviations from Mean-1.5-0.97310.06680.04411.85014-1.5 to -1.0 Standard Deviations from Mean-1.0-0.65170.15870.09193.85775-1.0 to -0.5 Standard Deviations from Mean-0.5-0.32870.30860.14996.29586-0.5 Standard Deviations from Mean to Mean0.0-0.00610.50000.19158.04097Mean to +0.5 Standard Deviations from Mean0.50.317130.69150.19158.04098+0.5 to +1.0 Standard Deviations from Mean1.00.63950.84140.14996.29589+1.0 to +1.5 Standard Deviations from Mean1.50.96210.93320.09193.857710+1.5 to +2.0 Standard Deviations from Mean2.01.28450.97730.04411.850111+2.0 to +2.5 Standard Deviations from Mean2.51.60700.99380.01660.695112More than Mean + 2.5 Standard DeviationsMor eMor e11.00000.00620.2604Totals4242+/- Sigma BoundsObserved Drift ValuesObservedPercentagesPercentage for Normal Distribution2.5 (Bins 2-11)4197.62%Mean-0.00562 (Bins 3-10)4095.24%95.45%Std. Dev.0.64491.5 (Bins 4-9)3480.95%Sample Size421 (Bins 5-8)2661.90%68.27%0.5 (Bins 6-7)1433.33%Methodology for Histogram Taken from Section 19 of Reference 4.1.4 and Section 3.7.5 of Reference 4.1.31.Order the drift data in ascending order.

2.Obtain mean, standard deviation, and sample size.

3.Establishing bins in 1/2 sigma increments from the mean to 2.5 sigma in both directions, derive the upper bin limits, inunits of drift, based on the values of the mean and standard deviation. 4.Obtain expected frequency for a normal distribution in each bin.5.Manually compute the number of observed drift data points within each bin, and list under observed frequency.6.Plot the Expected Frequency and the Observed Frequency Data on the Histogram for comparison to each other.Results:Since the data passed the W Test for normality, a Coverage Analysis is not necessary. The Histogram shows that the data conforms closely to a normal distribution.

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysHistogramG13.18.6.3-009 Rev. 0Attachment 1Page 15 of 23 0 2 4 6 8101214-1.618-1.295-0.973-0.651-0.328-0.0060.3170.6390.9621.2841.607MorePopulationDrift (% Setpoint)Histogram of Drift -River Bend StationABB ITE-62Time Delay RelaysObserved FrequencyNormal Distribution DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysScatter PlotG13.18.6.3-009 Rev. 0Attachment 1Page 16 of 23Note: Equation on Scatter Plot is computer generated, based on the associated trend line.y = 0.0003x -0.1709-1.5-1.0-0.50.00.51.01.52.0200250300350400450500550600650700Drift (% Setpoint)Time (Days)Scatter Plot -River Bend StationABB ITE-62 Time Delay RelaysLinear (Drift)

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysBinning AnalysisG13.18.6.3-009 Rev. 0Attachment 1Page 17 of 23Bin StatisticsBin 1Bin 2Bin 3Bin 4Bin 5Bin 6Bin 7Count636Standard Dev.0.47730.6728Mean-0.10560.0110Mean Interval327.00576.75Max Interval330650Bin Definition and SelectionBin HiValidLimitBinPopulation BinsBins(Days)CountPercentageIncluded14500.0%

213500.0%

323000.0%

4460614.3%4 56903685.7%5 691500.0%

7Over00.0%Total Count:42100%

See Section 3.8.3 of Reference 4.1.3 for Binning Analysis Methodology.

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysBinning AnalysisG13.18.6.3-009 Rev. 0Attachment 1Page 18 of 23Graph Summary4.478BinTimeStd DevMean1.9874327.000.4773-0.1056 5576.750.67280.0110Test of VariancesF Critical Variance Ratio Potential Strong TD of Random No-0.2-0.10.00.10.20.30.40.50.60.70.8200300400500600Drift (% Setpoint)Time (Days)Binning Analysis -River Bend StationABB ITE-62Time Delay Relaysstd devmean DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysRegression - DriftG13.18.6.3-009 Rev. 0Attachment 1Page 19 of 23Regression Analysis - DriftREGRESSION ANALYSIS

SUMMARY

OUTPUTF Critical3.231727Regression StatisticsMultiple R0.044877 R Square0.002014Adjusted R Square-0.022936 Standard Error0.652249 Observations42 ANOVAdfSSMSFSignificance FRegression10.03434060.03434060.0807200.777790Residual4017.01713310.4254283 Total4117.0514737CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept-0.1708870.590267-0.2895080.773688-1.3638611.022087-1.3638611.0220869X Variable 10.0003050.0010750.2841130.777790-0.0018670.002478-0.0018670.0024780Refer to Section 3.8.4 of Reference 4.1.3 for Methodology for Regression Analysis.

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysRegression - DriftG13.18.6.3-009 Rev. 0Attachment 1Page 20 of 23-1.5-1.0-0.50.00.51.01.52.0200300400500600700Drift (% Setpoint)Time (Days)Drift Regression Line Fit PlotDriftPredicted Drift DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysRegression - AV of DriftG13.18.6.3-009 Rev. 0Attachment 1Page 21 of 23Regression Analysis - AV of DriftABSOLUTE VALUE REGRESSION ANALYSIS

SUMMARY

OUTPUTF Critical3.231727Regression StatisticsMultiple R0.066729 R Square0.004453Adjusted R Square-0.020436 Standard Error0.429297 Observations42 ANOVAdfSSMSFSignificance FRegression10.03297130.03297130.1789040.674582Residual407.37182830.1842957 Total417.4047996CoefficientsStandard Errort StatP-valueLower 95%Upper 95%Lower 95.0%Upper 95.0%Intercept0.3173670.3885020.8168990.418825-0.4678241.102558-0.4678241.102558X Variable 10.0002990.0007080.4229710.674582-0.0011310.001729-0.0011310.001729Refer to Section 3.8.4 of Reference 4.1.3 for Methodology for Regression Analysis.

DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysRegression - AV of DriftG13.18.6.3-009 Rev. 0Attachment 1Page 22 of 230.00.20.40.60.81.01.21.41.61.8200300400500600700AV of Drift (% Setpoint)Time (Days)AV of Drift Regression Line Fit PlotAV of DriftPredicted AV of Drift DRIFT ANALYSIS RIVER BEND STATIONABB Model ITE-62 Time Delay RelaysAnalyzed Drift (DA)G13.18.6.3-009 Rev. 0Attachment 1Page 23 of 23Drift Bias DeterminationFirst, the bias term is evaluated for significance per Section 3.10 of Reference 4.1.3.Per Outlier Statistical Summary, Count (N)42Drift Data PointsDrift Bias Term (Mean)-0.0056% Setpoint Standard Deviation (Stdev)0.6449% Setpoint t for Count = 42 Data Points2.000(Ref. 4.1.3, Table 4) [Bias (Crit) = t

  • Stdev / (N)^0.5]

Signficant Bias Critical Value0.199% SP Therefore, the bias value for this drift data set is not signficant, since the magnitude of the Bias is less than the Critical Bias Value.DAbias=NegligibleRandom Drift DeterminationTime DependencyModerate Count (N)42Drift Data PointsBin 5 Standard Deviation (Stdev)0.6728% Setpoint Mean Bin 5 Time Interval577Days Maximum Required Cal Interval915Days Tolerance Interval Factor (TIF)2.445(Ref. 4.1.3, Table 1) [Current Interval Drift = Stdev

  • TIF]DArandom (current)= +/-1.645% Setpoint [Extrap Drift = DArandom (current) * (Required Cal Interval / Mean Bin 5 Cal Interval)1/2]DArandom (extrap)= +/-2.072% Setpoint for up to 915 Days G13.18.6.3-009Attachment 2 Page 1 of 8DESIGN VERIFICATION COVER PAGE ANO-1 ANO-2 IP-2 IP-3 JAF PLP PNPS VY GGNSRBS W3 NP Document No. G13.18.6.3-009Revision No.

0Page 1 ofTitle:Drift Study for ABB ITE-62 Timers Quality Related Augmented Quality Related DV Method: Design Review Alternate Calculation Qualification Testing VERIFICATION REQUIRED DISCIPLINEVERIFICATION COMPLETE AND COMMENTS RESOLVED (DV print, sign, and date)ElectricalMechanicalInstrument and ControlRichard J. Hannigan / / 1-26-09 Civil/StructuralNuclearOriginator:Aaron Castor / / 1-26-09Print/Sign/Date After Comments Have Been Resolved G13.18.6.3-009Attachment 2 Page 2 of 8 DESIGN VERIFICATION CHECKLIST SHEET 1 OF 3IDENTIFICATION: DISCIPLINE:Civil/StructuralElectricalI & C MechanicalNuclearOtherDocument Title: Drift Study for ABB ITE-62 TimersDoc. No.:G13.18.6.3-009 Rev. 0 QA Cat. 1 Verifier: Richard J. Hannigan1-26-09 Print Sign Date Manager authorization for supervisor performing Verification. N/A _ _________________ ____________ Print Sign DateMETHOD OF VERIFICATION: Design Review Alternate CalculationsQualification Test The following basic questions are addressed as applicable, during the performance of any design verification. These questions are based on the requirements of ANSI N45.2.11 - 1974. NOTE The reviewer can use the "Comments/Continuation sheet" at the end for entering anycomment/resolution along with the appropriate question number. Additional items with new question numbers can also be entered. 1. Design Inputs - Were the inputs correctly selected and incorporated into the design? (Design inputs include design bases, plant operational conditions, performance requirements, regulatory requirements and commitments, codes, standards, field data, etc.All information used as design inputs should have been reviewed and approved by the responsible design organization, as applicable.

All inputs need to be retrievable or excerpts of documents used should be attached. See site specific design input procedures for guidance in identifying inputs.) Yes No N/A 2. Assumptions - Are assumptions necessary to perform the design activity adequately described and reasonable? Where necessary, are assumptions identified for subsequent re-verification when the detailed activities are completed?Are the latest applicable revisions of design documents utilized? Yes No N/A 3. Quality Assurance - Are the appropriate quality and quality assurance requirements specified?Yes No N/A G13.18.6.3-009Attachment 2 Page 3 of 8 DESIGN VERIFICATION CHECKLIST SHEET 2 OF 34. Codes, Standards and Regulatory Requirements - Are the applicable codes, standards and regulatory requirements, including issue and addenda properly identified and are their requirements for design met?

Yes No N/A 5. Construction and Operating Experience - Have applicable construction and operating experience been considered? Yes No N/A 6. Interfaces - Have the design interface requirements been satisfied and documented? Yes No N/A 7. Methods - Was an appropriate design or analytical (for calculations) method used? Yes No N/A 8. Design Outputs - Is the output reasonable compared to the inputs? Yes No N/A 9. Parts, Equipment and Processes - Are the specified parts, equipment, and processes suitable for the required application?

Yes No N/A 10. Materials Compatibility - Are the specified materials compatible with each other and the design environmental conditions to which the material will be exposed? Yes No N/A 11. Maintenance requirements - Have adequate maintenance features and requirements been specified?

Yes No N/A 12. Accessibility for Maintenance - Are accessibility and other design provisions adequate for performance of needed maintenance and repair?

Yes No N/A 13. Accessibility for In-service Inspection - Has adequate accessibility been provided to perform the in-service inspection expected to be required during the plant life? Yes No N/A 14. Radiation Exposure - Has the design properly considered radiation exposure to the public and plant personnel?

Yes No N/A 15. Acceptance Criteria - Are the acceptance criteria incorporated in the design documents sufficient to allow verification that design requirements have been satisfactorily accomplished?Yes No N/A 16. Test Requirements - Have adequate pre-operational and subsequent periodic test requirements been appropriately specified?

Yes No N/A G13.18.6.3-009Attachment 2 Page 4 of 8 DESIGN VERIFICATION CHECKLIST SHEET 3 OF 317. Handling, Storage, Cleaning and Shipping - Are adequate handling, storage, cleaning and shipping requirements specified?

Yes No N/A 18. Identification Requirements - Are adequate identification requirements specified? Yes No N/A 19. Records and Documentation - Are requirements for record preparation, review, approval, retention, etc., adequately specified? Are all documents prepared in a clear legible manner suitable for microfilming and/or other documentation storage method? Have all impacted documents been identified for update as necessary? Yes No N/A 20. Software Quality Assurance- ENN sites: For a calculation that utilized software applications (e.g., GOTHIC, SYMCORD), was it properly verified and validated in accordance with EN- IT-104 or previous site SQA Program? ENS sites: This is an EN-IT-104 task. However, per ENS-DC-126, for exempt software, was it verified in the calculation? Yes No N/A 21.Has adverse impact on peripheral components and systems, outside the boundary of the document being verified, been considered?Yes No N/A G13.18.6.3-009Attachment 2 Page 5 of 8 DESIGN VERIFICATION COMMENT SHEET SHEET 1 OF 1Comments / Continuation SheetQuestion#CommentsResolutionInitial/DateNONE G13.18.6.3-009Attachment 2 Page 6 of 8During the independent review of calculation G13.18.6.3-009, alternate applications Lotus 1-2-3 and Quattro Pro were used to validate the results generated by MS Excel in the calculation. The reviewer independently generated the G13.18.6.3-009 results. In the table below the results of the validation for the G13.18.6.3-009 values and the values produced by Lotus 1-2-3 and Quattro Pro are illustrated.Since there were not any outliers the Initial Data Set and the Final Data Set are the same. The results from Lotus 1-2-3 and Quattro Pro validated the calculation G13.18.6.3-009 results generated by MS Excel. Minor differences in the values between the MS Excel generated results and the Lotus 1-2-3 and Quattro Pro generated results were reviewed and can be attributed to rounding and conversion between applications. Below is a partial listing of some of the values from G13.18.6.3-009 that were validated:ParameterG13.18.6.3-009ValueValidationValueValidationApplicationValid?Mean-0.0056-0.0056Lotus1-2-3YesVariance0.4160.416Lotus 1-2-3 YesStandardDeviation0.64490.6449Lotus1-2-3YesCount4242Lotus1-2-3YesMax1.671.67Lotus1-2-3YesMedian0.000.00Lotus1-2-3YesMin-1.30-1.30Lotus1-2-3YesRange2.972.97Lotus1-2-3YesSum-0.237-0.237Lotus1-2-3YesKurtosis0.1040.104Lotus1-2-3YesSkewness0.5230.523Lotus1-2-3YesOutliersNoneNoneLotus1-2-3YesDrift scatter plot with trend line N/AVisual inspection shows agreement between the scatter plots and trend lines Lotus 1-2-3 YesDrift scatter plot trend line Y = 0.0003x - 0.1709 Y = 0.000305x - 0.171 Lotus 1-2-3 YesW Test Value 0.9576 (does not reject assumption of normality)0.9576 (does not reject assumption of normality)Lotus 1-2-3 YesHistogramN/AVisual inspection shows agreement between the two histogramsLotus 1-2-3 Yes G13.18.6.3-009Attachment 2 Page 7 of 8ParameterG13.18.6.3-009ValueValidationValueValidationApplicationValid?Data within 0.5 StandardDeviations1414Lotus 1-2-3 YesData within 1.0 StandardDeviation2626Lotus 1-2-3 YesData within 1.5 StandardDeviations3434Lotus 1-2-3 YesData within 2.0 StandardDeviations4040Lotus 1-2-3 YesData within 2.5 StandardDeviations4141Lotus 1-2-3 YesBin 4 count 66Lotus 1-2-3 YesBin 4 drift StandardDeviation0.47730.4773Lotus 1-2-3 YesBin 4 drift mean -0.1056-0.1056Lotus 1-2-3 YesBin 4 interval mean327.00327.00Lotus1-2-3YesBin 4 interval maximum330330Lotus 1-2-3 YesBin 5 count 3636Lotus 1-2-3 YesBin 5 drift StandardDeviation0.67280.6728Lotus 1-2-3 YesBin 5 drift mean 0.01100.0110Lotus 1-2-3 YesBin 5 interval mean576.75576.75Lotus1-2-3YesBin 5 interval maximum650650Lotus 1-2-3 YesBinning Analysis Ratio of Variances1.9871.987Lotus1-2-3YesBinning Analysis F Critical 4.4784.478QuattroProYes G13.18.6.3-009Attachment 2 Page 8 of 8ParameterG13.18.6.3-009ValueValidationValueValidationApplicationValid?Drift Regression Scatter Plot NAVisual inspection shows agreement between the two scatter plots and trend lines. Lotus 1-2-3 YesDrift Regression Scatter Plot Trend LineY = 0.000305x-0.170887Y = 0.000305x-0.170836Quattro Pro YesDrift RegressionR Square Value 0.0020140.002013Quattro Pro YesDrift RegressionF Value 0.0807200.080673Quattro Pro YesF Crit Value 3.2317273.231727Quattro Pro YesDrift RegressionP-Value0.7777900.777817Quattro Pro YesAV Drift Regression Scatter Plot NAVisual inspection shows agreement between the two scatter plots and trend lines. Lotus 1-2-3 YesAV Drift Regression Scatter Plot Trend LineY = 0.000299x +0.317367Y = 0.000299x +0.317369Quattro Pro YesAV Drift RegressionR Square Value 0.0044530.004453Quattro Pro YesAV Drift RegressionF Value 0.1789040.178900Quattro Pro YesF Crit Value 3.2317273.231727Quattro Pro YesAV Drift RegressionP-Value0.6745820.674531Quattro Pro YesOther values, including those based on the above parameters, were checked using hand calculations.

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