Information Notice 2010-05, Management of Steam Generator Loose Parts and Automated Eddy Current Data Analysis: Difference between revisions
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{{#Wiki_filter:UNITED STATES | {{#Wiki_filter:ML093640691 UNITED STATES | ||
NUCLEAR REGULATORY COMMISSION | NUCLEAR REGULATORY COMMISSION | ||
| Line 20: | Line 20: | ||
OFFICE OF NUCLEAR REACTOR REGULATION | OFFICE OF NUCLEAR REACTOR REGULATION | ||
WASHINGTON, DC 20555-0001 February 3, 2010 | WASHINGTON, DC 20555-0001 | ||
NRC INFORMATION NOTICE 2010-05: | |||
February 3, 2010 | |||
NRC INFORMATION NOTICE 2010-05: | |||
MANAGEMENT OF STEAM GENERATOR LOOSE | |||
PARTS AND AUTOMATED EDDY CURRENT | PARTS AND AUTOMATED EDDY CURRENT | ||
| Line 45: | Line 49: | ||
The NRC expects recipients to review the information for applicability to their facilities and to | The NRC expects recipients to review the information for applicability to their facilities and to | ||
consider actions, as appropriate, to avoid similar problems. However, suggestions contained in | consider actions, as appropriate, to avoid similar problems. However, suggestions contained in | ||
this IN are not NRC requirements; therefore, no specific action or written response is required. | this IN are not NRC requirements; therefore, no specific action or written response is required. | ||
==DESCRIPTION OF CIRCUMSTANCES== | ==DESCRIPTION OF CIRCUMSTANCES== | ||
At the Braidwood Station, Unit 1, in 2009, the licensee, Exelon Generation Company, LLC, | At the Braidwood Station, Unit 1, in 2009, the licensee, Exelon Generation Company, LLC, | ||
inspected steam generator tubes using eddy current techniques. As is common practice, the | inspected steam generator tubes using eddy current techniques. As is common practice, the | ||
licensee used two independent teams (i.e., primary and secondary teams) to evaluate the data. | licensee used two independent teams (i.e., primary and secondary teams) to evaluate the data. | ||
| Line 57: | Line 61: | ||
Each of the two teams used an automated data screening system to evaluate the bobbin coil | Each of the two teams used an automated data screening system to evaluate the bobbin coil | ||
eddy current data. Human analysts reviewed the results of each of the automated data | eddy current data. Human analysts reviewed the results of each of the automated data | ||
screening systems to accept, reject, or modify the classification of the signals identified through | screening systems to accept, reject, or modify the classification of the signals identified through | ||
| Line 67: | Line 71: | ||
signal from the bobbin coil eddy current data slightly above both the expansion transition and | signal from the bobbin coil eddy current data slightly above both the expansion transition and | ||
the tubesheet on the hot-leg side of the steam generator. The human analyst accepted this | the tubesheet on the hot-leg side of the steam generator. The human analyst accepted this | ||
signal for further investigation. To resolve the nature of this indication, the licensee used a | signal for further investigation. To resolve the nature of this indication, the licensee used a | ||
rotating eddy current probe to inspect the location with the distortion. Based on the result of this | rotating eddy current probe to inspect the location with the distortion. Based on the result of this | ||
subsequent examination, the licensee concluded that mechanical wear between the tube and a | subsequent examination, the licensee concluded that mechanical wear between the tube and a | ||
foreign object caused the indication. The depth of the wear indication was estimated from the | foreign object caused the indication. The depth of the wear indication was estimated from the | ||
rotating probe as 73 percent through the tube wall. Because of its size, the indication was in | rotating probe as 73 percent through the tube wall. Because of its size, the indication was in | ||
situ pressure tested to confirm that it did not significantly compromise the integrity of the tube. | situ pressure tested to confirm that it did not significantly compromise the integrity of the tube. | ||
| Line 83: | Line 87: | ||
The licensee did not observe any leakage during the in situ pressure test and confirmed the | The licensee did not observe any leakage during the in situ pressure test and confirmed the | ||
tube had adequate integrity. Following the in situ pressure test, the licensee stabilized and | tube had adequate integrity. Following the in situ pressure test, the licensee stabilized and plugged the tube. The plant technical specifications require the licensee to plug any tubes with | ||
plugged the tube. The plant technical specifications require the licensee to plug any tubes with | |||
flaws equal to or exceeding 40 percent of the wall thickness. | flaws equal to or exceeding 40 percent of the wall thickness. | ||
This tube had been inspected during prior outages. Upon review of the historical eddy current | This tube had been inspected during prior outages. Upon review of the historical eddy current | ||
data, the licensee concluded that an indication had existed at this location since 2006. The | data, the licensee concluded that an indication had existed at this location since 2006. The | ||
indication in 2006 was smaller than that observed in 2009, whereas the indication in 2007 was | indication in 2006 was smaller than that observed in 2009, whereas the indication in 2007 was | ||
similar in size to the indication observed in 2009. As a result, the licensee concluded that the | similar in size to the indication observed in 2009. As a result, the licensee concluded that the | ||
tube should have been plugged in 2007. | tube should have been plugged in 2007. | ||
| Line 103: | Line 105: | ||
data analysis systems were employed during the 2006 and 2007 inspections at Braidwood | data analysis systems were employed during the 2006 and 2007 inspections at Braidwood | ||
Station, Unit 1. During all three inspections, the primary automated data analysis system | Station, Unit 1. During all three inspections, the primary automated data analysis system | ||
identified a distorted signal at the location where the flaw was observed in 2009. Because the | identified a distorted signal at the location where the flaw was observed in 2009. Because the | ||
human analyst rejected these signals in both 2006 and 2007, no further investigation into the | human analyst rejected these signals in both 2006 and 2007, no further investigation into the | ||
nature of the signal was performed. The secondary automated data analysis system did not | nature of the signal was performed. The secondary automated data analysis system did not | ||
identify this location as having a distorted signal in the 2006, 2007, or 2009 inspections, although a signal attributed to a potential loose part was initially identified in 2006 and was | identify this location as having a distorted signal in the 2006, 2007, or 2009 inspections, although a signal attributed to a potential loose part was initially identified in 2006 and was | ||
| Line 115: | Line 117: | ||
subsequently rejected by the human analyst during that inspection. | subsequently rejected by the human analyst during that inspection. | ||
During the 2009 outage, no foreign object was found near the tube with the 73 percent through- wall wear indication. However, the affected tube was located near a cluster of tubes that the | During the 2009 outage, no foreign object was found near the tube with the 73 percent through- wall wear indication. However, the affected tube was located near a cluster of tubes that the | ||
licensee had plugged in 2003 because of a foreign object that was identified but could not be | licensee had plugged in 2003 because of a foreign object that was identified but could not be | ||
removed. During the 2007 outage, the licensee could not locate this foreign object and now | removed. During the 2007 outage, the licensee could not locate this foreign object and now | ||
postulates that it moved from its original location and caused the 73 percent through-wall wear | postulates that it moved from its original location and caused the 73 percent through-wall wear | ||
indication. The licensee also postulates that the foreign object may have broken into smaller | indication. The licensee also postulates that the foreign object may have broken into smaller | ||
pieces that were removed by the blowdown system or during the removal of sludge from the top | pieces that were removed by the blowdown system or during the removal of sludge from the top | ||
| Line 133: | Line 135: | ||
performance issue related to the amount of technical rigor applied during the review of the | performance issue related to the amount of technical rigor applied during the review of the | ||
distorted eddy current data that the automated data analysis system identified during the 2006 and 2007 inspections. A contributing cause was that one of the automated data analysis | distorted eddy current data that the automated data analysis system identified during the 2006 and 2007 inspections. A contributing cause was that one of the automated data analysis | ||
systems did not identify the distorted indication. | systems did not identify the distorted indication. | ||
The licensee took the following corrective actions: | The licensee took the following corrective actions: | ||
* | |||
* | |||
It revised the guidelines for the eddy current data analysis to emphasize the requirement | |||
to manually review available frequencies associated with distorted top of the tubesheet | to manually review available frequencies associated with distorted top of the tubesheet | ||
| Line 146: | Line 150: | ||
analysis. | analysis. | ||
* | * | ||
It incorporated the lessons learned from this issue in its site-specific performance | |||
demonstration training and testing program to ensure that all data analysts and | demonstration training and testing program to ensure that all data analysts and | ||
| Line 154: | Line 159: | ||
current inspection. | current inspection. | ||
* | * | ||
It reevaluated the logic parameters in the automated data analysis system that the | |||
secondary data analysis team used. * | secondary data analysis team used. * | ||
It determined and implemented changes to ensure that foreign object wear indications | |||
are correctly identified at the top of the tubesheet region. | are correctly identified at the top of the tubesheet region. | ||
| Line 162: | Line 169: | ||
The licensee also assessed the eddy current method that it had chosen to size the wear | The licensee also assessed the eddy current method that it had chosen to size the wear | ||
indication identified in 2009 (i.e., the rotating eddy current probe). Different sizing methods exist | indication identified in 2009 (i.e., the rotating eddy current probe). Different sizing methods exist | ||
for differently shaped wear scars (e.g., football-shaped and tapered-hole wear scars) and for | for differently shaped wear scars (e.g., football-shaped and tapered-hole wear scars) and for | ||
volumetric indications, like wear, in the free span. For at least one of these techniques | volumetric indications, like wear, in the free span. For at least one of these techniques | ||
(e.g., sizing with a pancake coil), the resultant size would have been much smaller than | (e.g., sizing with a pancake coil), the resultant size would have been much smaller than | ||
73 percent, thereby resulting in a flaw that would not require in situ pressure testing. The | 73 percent, thereby resulting in a flaw that would not require in situ pressure testing. The | ||
licensee used a sizing method that conservatively estimated the flaw size and verified that the | licensee used a sizing method that conservatively estimated the flaw size and verified that the | ||
| Line 177: | Line 184: | ||
==BACKGROUND== | ==BACKGROUND== | ||
Related Generic Communications | |||
Previous related generic communications include the following: | |||
* | |||
NRC IN 2004-10, Loose Parts in Steam Generators, dated May 4, 2004 (Agencywide | |||
Documents Access and Management System (ADAMS) Accession No. ML041170480) | |||
* | |||
NRC IN 2004-17, Loose Part Detection and Computerized Eddy Current Data Analysis | |||
in Steam Generators, dated August 25, 2004 (ADAMS Accession No. ML042180094) | |||
* | |||
NRC IN 2003-05, Failure To Detect Freespan Cracks in PWR [Pressurized-Water | |||
Reactor] Steam Generator Tubes, dated June 5, 2003 (ADAMS Accession | Reactor] Steam Generator Tubes, dated June 5, 2003 (ADAMS Accession | ||
No. ML031550258) | No. ML031550258) | ||
==DISCUSSION== | ==DISCUSSION== | ||
| Line 197: | Line 210: | ||
operating experience at Braidwood, Unit 1 illustrates several important points relative to the | operating experience at Braidwood, Unit 1 illustrates several important points relative to the | ||
management and detection of loose parts and the use of automatic data analysis systems. The | management and detection of loose parts and the use of automatic data analysis systems. The | ||
loose part that may have caused the wear scar identified in 2009 was first identified in adjacent | loose part that may have caused the wear scar identified in 2009 was first identified in adjacent | ||
tubes during a refueling outage in 2003. The licensee stabilized and plugged the tubes | tubes during a refueling outage in 2003. The licensee stabilized and plugged the tubes | ||
surrounding the original location of the loose part because it was unable to remove the loose | surrounding the original location of the loose part because it was unable to remove the loose | ||
| Line 209: | Line 222: | ||
Monitoring the location of loose parts that are left in the steam generator may help licensees | Monitoring the location of loose parts that are left in the steam generator may help licensees | ||
detect tubes potentially affected by loose parts. For example, if a loose part is left in the steam | detect tubes potentially affected by loose parts. For example, if a loose part is left in the steam | ||
generator, the licensee can perform secondary side visual inspections during subsequent | generator, the licensee can perform secondary side visual inspections during subsequent | ||
outages to verify that the loose part has not moved. If the loose part has moved, additional | outages to verify that the loose part has not moved. If the loose part has moved, additional | ||
secondary side visual inspections could be performed to locate the loose part, and primary side | secondary side visual inspections could be performed to locate the loose part, and primary side | ||
| Line 219: | Line 232: | ||
inspections could be performed on active tubes surrounding the original location of the loose | inspections could be performed on active tubes surrounding the original location of the loose | ||
part to determine whether the loose part has affected these tubes. If visual examination of the | part to determine whether the loose part has affected these tubes. If visual examination of the | ||
loose part's original location is not possible, primary side inspections of the active tubes | loose part's original location is not possible, primary side inspections of the active tubes | ||
surrounding the original location could determine whether the loose part has moved and whether additional tubes have been damaged. This process may lead to the more timely | surrounding the original location could determine whether the loose part has moved and whether additional tubes have been damaged. This process may lead to the more timely | ||
detection of wear caused by loose parts. | detection of wear caused by loose parts. | ||
| Line 229: | Line 242: | ||
At Braidwood, Unit 1 only one of the automated data analysis systems identified the distorted | At Braidwood, Unit 1 only one of the automated data analysis systems identified the distorted | ||
signal attributed to the wear scar estimated as being 73 percent through the tube wall. The | signal attributed to the wear scar estimated as being 73 percent through the tube wall. The | ||
qualification of an automated data analysis system is important for ensuring that all relevant flaw | qualification of an automated data analysis system is important for ensuring that all relevant flaw | ||
signals are identified. Ensuring that an automated data analysis tool can detect the various | signals are identified. Ensuring that an automated data analysis tool can detect the various | ||
types of flaws that may occur along the entire length of the tube is important for ensuring tube | types of flaws that may occur along the entire length of the tube is important for ensuring tube | ||
| Line 245: | Line 258: | ||
degradation, and the forms of degradation that are observed at these plants tend to be easily | degradation, and the forms of degradation that are observed at these plants tend to be easily | ||
detectable. Because many of the signals identified during the automated data analysis | detectable. Because many of the signals identified during the automated data analysis | ||
screening may not be flaws, it is important that eddy current data analysts do not inadvertently | screening may not be flaws, it is important that eddy current data analysts do not inadvertently | ||
dismiss relevant signals. The experience at Braidwood, Unit 1 highlights the importance of | dismiss relevant signals. The experience at Braidwood, Unit 1 highlights the importance of | ||
ensuring that human data analysts effectively review eddy current data. A licensee can monitor | ensuring that human data analysts effectively review eddy current data. A licensee can monitor | ||
the performance of a human analyst by inserting a known flaw signal from a Judas (or | the performance of a human analyst by inserting a known flaw signal from a Judas (or | ||
| Line 257: | Line 270: | ||
Cobra) tube into the data stream that is being reviewed, as discussed in NRC IN 2003-05. | Cobra) tube into the data stream that is being reviewed, as discussed in NRC IN 2003-05. | ||
Choosing the appropriate method to size an indication is important for verifying tube integrity. In | Choosing the appropriate method to size an indication is important for verifying tube integrity. In | ||
instances where multiple techniques exist for sizing a flaw, it is important to select the most | instances where multiple techniques exist for sizing a flaw, it is important to select the most | ||
appropriate technique. If the licensee cannot determine an appropriate technique, a | appropriate technique. If the licensee cannot determine an appropriate technique, a | ||
conservative approach should be used to ensure that tube integrity is being maintained as | conservative approach should be used to ensure that tube integrity is being maintained as | ||
required by the plant technical specifications. At Braidwood, Unit 1 the licensee used a sizing | required by the plant technical specifications. At Braidwood, Unit 1 the licensee used a sizing | ||
method that conservatively estimated the flaw size and in situ pressure tested the flaw to verify | method that conservatively estimated the flaw size and in situ pressure tested the flaw to verify | ||
| Line 272: | Line 285: | ||
==CONTACT== | ==CONTACT== | ||
This IN requires no specific action or written response. Please direct any questions about this | This IN requires no specific action or written response. Please direct any questions about this | ||
matter to the technical contact listed below or to the appropriate Office of Nuclear Reactor | matter to the technical contact listed below or to the appropriate Office of Nuclear Reactor | ||
| Line 278: | Line 291: | ||
Regulation (NRR) project manager. | Regulation (NRR) project manager. | ||
/RA/ | /RA/ | ||
Timothy J. McGinty, Director | |||
Division of Policy and Rulemaking | Division of Policy and Rulemaking | ||
| Line 286: | Line 300: | ||
===Technical Contact:=== | ===Technical Contact:=== | ||
Kenneth J. Karwoski, NRR | |||
301-415-2752 E-mail: kenneth.karwoski@nrc.gov | |||
Note: NRC generic communications may be found on the NRC public Web site, http://www.nrc.gov, under Electronic Reading Room/Document Collections. whether additional tubes have been damaged. This process may lead to the more timely | Note: NRC generic communications may be found on the NRC public Web site, http://www.nrc.gov, under Electronic Reading Room/Document Collections. whether additional tubes have been damaged. This process may lead to the more timely | ||
detection of wear caused by loose parts. | detection of wear caused by loose parts. | ||
| Line 296: | Line 310: | ||
At Braidwood, Unit 1 only one of the automated data analysis systems identified the distorted | At Braidwood, Unit 1 only one of the automated data analysis systems identified the distorted | ||
signal attributed to the wear scar estimated as being 73 percent through the tube wall. The | signal attributed to the wear scar estimated as being 73 percent through the tube wall. The | ||
qualification of an automated data analysis system is important for ensuring that all relevant flaw | qualification of an automated data analysis system is important for ensuring that all relevant flaw | ||
signals are identified. Ensuring that an automated data analysis tool can detect the various | signals are identified. Ensuring that an automated data analysis tool can detect the various | ||
types of flaws that may occur along the entire length of the tube is important for ensuring tube | types of flaws that may occur along the entire length of the tube is important for ensuring tube | ||
| Line 312: | Line 326: | ||
degradation, and the forms of degradation that are observed at these plants tend to be easily | degradation, and the forms of degradation that are observed at these plants tend to be easily | ||
detectable. Because many of the signals identified during the automated data analysis | detectable. Because many of the signals identified during the automated data analysis | ||
screening may not be flaws, it is important that eddy current data analysts do not inadvertently | screening may not be flaws, it is important that eddy current data analysts do not inadvertently | ||
dismiss relevant signals. The experience at Braidwood, Unit 1 highlights the importance of | dismiss relevant signals. The experience at Braidwood, Unit 1 highlights the importance of | ||
ensuring that human data analysts effectively review eddy current data. A licensee can monitor | ensuring that human data analysts effectively review eddy current data. A licensee can monitor | ||
the performance of a human analyst by inserting a known flaw signal from a Judas (or | the performance of a human analyst by inserting a known flaw signal from a Judas (or | ||
| Line 324: | Line 338: | ||
Cobra) tube into the data stream that is being reviewed, as discussed in NRC IN 2003-05. | Cobra) tube into the data stream that is being reviewed, as discussed in NRC IN 2003-05. | ||
Choosing the appropriate method to size an indication is important for verifying tube integrity. In | Choosing the appropriate method to size an indication is important for verifying tube integrity. In | ||
instances where multiple techniques exist for sizing a flaw, it is important to select the most | instances where multiple techniques exist for sizing a flaw, it is important to select the most | ||
appropriate technique. If the licensee cannot determine an appropriate technique, a | appropriate technique. If the licensee cannot determine an appropriate technique, a | ||
conservative approach should be used to ensure that tube integrity is being maintained as | conservative approach should be used to ensure that tube integrity is being maintained as | ||
required by the plant technical specifications. At Braidwood, Unit 1 the licensee used a sizing | required by the plant technical specifications. At Braidwood, Unit 1 the licensee used a sizing | ||
method that conservatively estimated the flaw size and in situ pressure tested the flaw to verify | method that conservatively estimated the flaw size and in situ pressure tested the flaw to verify | ||
| Line 339: | Line 353: | ||
==CONTACT== | ==CONTACT== | ||
This IN requires no specific action or written response. Please direct any questions about this | This IN requires no specific action or written response. Please direct any questions about this | ||
matter to the technical contact listed below or to the appropriate Office of Nuclear Reactor | matter to the technical contact listed below or to the appropriate Office of Nuclear Reactor | ||
| Line 345: | Line 359: | ||
Regulation (NRR) project manager. | Regulation (NRR) project manager. | ||
/RA/ | /RA/ | ||
Timothy J. McGinty, Director | |||
Division of Policy and Rulemaking | Division of Policy and Rulemaking | ||
| Line 353: | Line 368: | ||
===Technical Contact:=== | ===Technical Contact:=== | ||
Kenneth J. Karwoski, NRR | |||
301-415-2752 E-mail: kenneth.karwoski@nrc.gov | |||
Note: NRC generic communications may be found on the NRC public Web site, http://www.nrc.gov, under Electronic Reading Room/Document Collections. | |||
ADAMS Accession Number: ML093640691 | |||
TAC ME2900 | |||
OFFICE | |||
DCI | |||
Tech Editor | |||
BC:CSGB:DCI | |||
D:DCI | |||
NAME | |||
KKarwoski | |||
KAzariah-Kribbs | |||
RTaylor | |||
MEvans | |||
DATE | |||
01/19/10 | |||
01/04/10 e-mail | |||
01/22/10 | |||
01/27/10 | |||
OFFICE | |||
LA:PGCB:NRR | |||
PM:PGCB:NRR | |||
BC:PGCB:NRR | |||
D:DPR:NRR | |||
NAME | |||
CHawes | |||
DBeaulieu | |||
MMurphy | |||
TMcGinty | |||
OFFICE | |||
OFFICE | |||
01/28/10 | |||
01/27/10 | |||
02/02/10 | |||
02/03/10 | |||
OFFICIAL RECORD COPY}} | |||
{{Information notice-Nav}} | {{Information notice-Nav}} | ||
Latest revision as of 07:38, 14 January 2025
| ML093640691 | |
| Person / Time | |
|---|---|
| Issue date: | 02/03/2010 |
| From: | Mcginty T Division of Policy and Rulemaking |
| To: | |
| Beaulieu, D P, NRR/DPR, 415-3243 | |
| References | |
| IN-10-005 | |
| Download: ML093640691 (5) | |
ML093640691 UNITED STATES
NUCLEAR REGULATORY COMMISSION
OFFICE OF NUCLEAR REACTOR REGULATION
WASHINGTON, DC 20555-0001
February 3, 2010
NRC INFORMATION NOTICE 2010-05:
MANAGEMENT OF STEAM GENERATOR LOOSE
PARTS AND AUTOMATED EDDY CURRENT
DATA ANALYSIS
ADDRESSEES
All holders of an operating license or construction permit for a nuclear power pressurized-water
reactor issued under Title 10 of the Code of Federal Regulations (10 CFR) Part 50, Domestic
Licensing of Production and Utilization Facilities, except those who have permanently ceased
operations and have certified that fuel has been permanently removed from the reactor vessel.
PURPOSE
The U.S. Nuclear Regulatory Commission (NRC) is issuing this information notice (IN) to inform
addressees of recent operating experience with (1) loose parts (foreign objects) in steam
generators and (2) the use of automatic steam generator eddy current data analysis systems.
The NRC expects recipients to review the information for applicability to their facilities and to
consider actions, as appropriate, to avoid similar problems. However, suggestions contained in
this IN are not NRC requirements; therefore, no specific action or written response is required.
DESCRIPTION OF CIRCUMSTANCES
At the Braidwood Station, Unit 1, in 2009, the licensee, Exelon Generation Company, LLC,
inspected steam generator tubes using eddy current techniques. As is common practice, the
licensee used two independent teams (i.e., primary and secondary teams) to evaluate the data.
Each of the two teams used an automated data screening system to evaluate the bobbin coil
eddy current data. Human analysts reviewed the results of each of the automated data
screening systems to accept, reject, or modify the classification of the signals identified through
the automatic data analysis.
During the 2009 inspections, one of the automated data analysis systems identified a distorted
signal from the bobbin coil eddy current data slightly above both the expansion transition and
the tubesheet on the hot-leg side of the steam generator. The human analyst accepted this
signal for further investigation. To resolve the nature of this indication, the licensee used a
rotating eddy current probe to inspect the location with the distortion. Based on the result of this
subsequent examination, the licensee concluded that mechanical wear between the tube and a
foreign object caused the indication. The depth of the wear indication was estimated from the
rotating probe as 73 percent through the tube wall. Because of its size, the indication was in
situ pressure tested to confirm that it did not significantly compromise the integrity of the tube.
The licensee did not observe any leakage during the in situ pressure test and confirmed the
tube had adequate integrity. Following the in situ pressure test, the licensee stabilized and plugged the tube. The plant technical specifications require the licensee to plug any tubes with
flaws equal to or exceeding 40 percent of the wall thickness.
This tube had been inspected during prior outages. Upon review of the historical eddy current
data, the licensee concluded that an indication had existed at this location since 2006. The
indication in 2006 was smaller than that observed in 2009, whereas the indication in 2007 was
similar in size to the indication observed in 2009. As a result, the licensee concluded that the
tube should have been plugged in 2007.
As was the case for the 2009 steam generator tube inspections, two independent automated
data analysis systems were employed during the 2006 and 2007 inspections at Braidwood
Station, Unit 1. During all three inspections, the primary automated data analysis system
identified a distorted signal at the location where the flaw was observed in 2009. Because the
human analyst rejected these signals in both 2006 and 2007, no further investigation into the
nature of the signal was performed. The secondary automated data analysis system did not
identify this location as having a distorted signal in the 2006, 2007, or 2009 inspections, although a signal attributed to a potential loose part was initially identified in 2006 and was
subsequently rejected by the human analyst during that inspection.
During the 2009 outage, no foreign object was found near the tube with the 73 percent through- wall wear indication. However, the affected tube was located near a cluster of tubes that the
licensee had plugged in 2003 because of a foreign object that was identified but could not be
removed. During the 2007 outage, the licensee could not locate this foreign object and now
postulates that it moved from its original location and caused the 73 percent through-wall wear
indication. The licensee also postulates that the foreign object may have broken into smaller
pieces that were removed by the blowdown system or during the removal of sludge from the top
of the tubesheet (i.e., sludge lancing).
The licensee assessed the cause of this event and determined that it was a historic human
performance issue related to the amount of technical rigor applied during the review of the
distorted eddy current data that the automated data analysis system identified during the 2006 and 2007 inspections. A contributing cause was that one of the automated data analysis
systems did not identify the distorted indication.
The licensee took the following corrective actions:
It revised the guidelines for the eddy current data analysis to emphasize the requirement
to manually review available frequencies associated with distorted top of the tubesheet
indications before determining whether an indication requires additional testing and/or
analysis.
It incorporated the lessons learned from this issue in its site-specific performance
demonstration training and testing program to ensure that all data analysts and
computer screening systems can properly identify the signal as requiring additional eddy
current inspection.
It reevaluated the logic parameters in the automated data analysis system that the
secondary data analysis team used. *
It determined and implemented changes to ensure that foreign object wear indications
are correctly identified at the top of the tubesheet region.
The licensee also assessed the eddy current method that it had chosen to size the wear
indication identified in 2009 (i.e., the rotating eddy current probe). Different sizing methods exist
for differently shaped wear scars (e.g., football-shaped and tapered-hole wear scars) and for
volumetric indications, like wear, in the free span. For at least one of these techniques
(e.g., sizing with a pancake coil), the resultant size would have been much smaller than
73 percent, thereby resulting in a flaw that would not require in situ pressure testing. The
licensee used a sizing method that conservatively estimated the flaw size and verified that the
integrity of the tube was not compromised through in situ pressure testing.
BACKGROUND
Related Generic Communications
Previous related generic communications include the following:
NRC IN 2004-10, Loose Parts in Steam Generators, dated May 4, 2004 (Agencywide
Documents Access and Management System (ADAMS) Accession No. ML041170480)
NRC IN 2004-17, Loose Part Detection and Computerized Eddy Current Data Analysis
in Steam Generators, dated August 25, 2004 (ADAMS Accession No. ML042180094)
NRC IN 2003-05, Failure To Detect Freespan Cracks in PWR [Pressurized-Water
Reactor] Steam Generator Tubes, dated June 5, 2003 (ADAMS Accession
No. ML031550258)
DISCUSSION
In addition to reinforcing the information in NRC IN 2004-10 and NRC IN 2004-17, the recent
operating experience at Braidwood, Unit 1 illustrates several important points relative to the
management and detection of loose parts and the use of automatic data analysis systems. The
loose part that may have caused the wear scar identified in 2009 was first identified in adjacent
tubes during a refueling outage in 2003. The licensee stabilized and plugged the tubes
surrounding the original location of the loose part because it was unable to remove the loose
part; however, the loose part eventually migrated from its original location.
Monitoring the location of loose parts that are left in the steam generator may help licensees
detect tubes potentially affected by loose parts. For example, if a loose part is left in the steam
generator, the licensee can perform secondary side visual inspections during subsequent
outages to verify that the loose part has not moved. If the loose part has moved, additional
secondary side visual inspections could be performed to locate the loose part, and primary side
inspections could be performed on active tubes surrounding the original location of the loose
part to determine whether the loose part has affected these tubes. If visual examination of the
loose part's original location is not possible, primary side inspections of the active tubes
surrounding the original location could determine whether the loose part has moved and whether additional tubes have been damaged. This process may lead to the more timely
detection of wear caused by loose parts.
At Braidwood, Unit 1 only one of the automated data analysis systems identified the distorted
signal attributed to the wear scar estimated as being 73 percent through the tube wall. The
qualification of an automated data analysis system is important for ensuring that all relevant flaw
signals are identified. Ensuring that an automated data analysis tool can detect the various
types of flaws that may occur along the entire length of the tube is important for ensuring tube
integrity, and plant technical specifications require licensees to perform inspections with the
objective of detecting flaws of any type that may satisfy the applicable tube repair criteria.
Most plants with thermally treated Alloy 690 tubing, such as Braidwood, Unit 1 have very little
degradation, and the forms of degradation that are observed at these plants tend to be easily
detectable. Because many of the signals identified during the automated data analysis
screening may not be flaws, it is important that eddy current data analysts do not inadvertently
dismiss relevant signals. The experience at Braidwood, Unit 1 highlights the importance of
ensuring that human data analysts effectively review eddy current data. A licensee can monitor
the performance of a human analyst by inserting a known flaw signal from a Judas (or
Cobra) tube into the data stream that is being reviewed, as discussed in NRC IN 2003-05.
Choosing the appropriate method to size an indication is important for verifying tube integrity. In
instances where multiple techniques exist for sizing a flaw, it is important to select the most
appropriate technique. If the licensee cannot determine an appropriate technique, a
conservative approach should be used to ensure that tube integrity is being maintained as
required by the plant technical specifications. At Braidwood, Unit 1 the licensee used a sizing
method that conservatively estimated the flaw size and in situ pressure tested the flaw to verify
that tube integrity was maintained.
CONTACT
This IN requires no specific action or written response. Please direct any questions about this
matter to the technical contact listed below or to the appropriate Office of Nuclear Reactor
Regulation (NRR) project manager.
/RA/
Timothy J. McGinty, Director
Division of Policy and Rulemaking
Office of Nuclear Reactor Regulation
Technical Contact:
Kenneth J. Karwoski, NRR
301-415-2752 E-mail: kenneth.karwoski@nrc.gov
Note: NRC generic communications may be found on the NRC public Web site, http://www.nrc.gov, under Electronic Reading Room/Document Collections. whether additional tubes have been damaged. This process may lead to the more timely
detection of wear caused by loose parts.
At Braidwood, Unit 1 only one of the automated data analysis systems identified the distorted
signal attributed to the wear scar estimated as being 73 percent through the tube wall. The
qualification of an automated data analysis system is important for ensuring that all relevant flaw
signals are identified. Ensuring that an automated data analysis tool can detect the various
types of flaws that may occur along the entire length of the tube is important for ensuring tube
integrity, and plant technical specifications require licensees to perform inspections with the
objective of detecting flaws of any type that may satisfy the applicable tube repair criteria.
Most plants with thermally treated Alloy 690 tubing, such as Braidwood, Unit 1 have very little
degradation, and the forms of degradation that are observed at these plants tend to be easily
detectable. Because many of the signals identified during the automated data analysis
screening may not be flaws, it is important that eddy current data analysts do not inadvertently
dismiss relevant signals. The experience at Braidwood, Unit 1 highlights the importance of
ensuring that human data analysts effectively review eddy current data. A licensee can monitor
the performance of a human analyst by inserting a known flaw signal from a Judas (or
Cobra) tube into the data stream that is being reviewed, as discussed in NRC IN 2003-05.
Choosing the appropriate method to size an indication is important for verifying tube integrity. In
instances where multiple techniques exist for sizing a flaw, it is important to select the most
appropriate technique. If the licensee cannot determine an appropriate technique, a
conservative approach should be used to ensure that tube integrity is being maintained as
required by the plant technical specifications. At Braidwood, Unit 1 the licensee used a sizing
method that conservatively estimated the flaw size and in situ pressure tested the flaw to verify
that tube integrity was maintained.
CONTACT
This IN requires no specific action or written response. Please direct any questions about this
matter to the technical contact listed below or to the appropriate Office of Nuclear Reactor
Regulation (NRR) project manager.
/RA/
Timothy J. McGinty, Director
Division of Policy and Rulemaking
Office of Nuclear Reactor Regulation
Technical Contact:
Kenneth J. Karwoski, NRR
301-415-2752 E-mail: kenneth.karwoski@nrc.gov
Note: NRC generic communications may be found on the NRC public Web site, http://www.nrc.gov, under Electronic Reading Room/Document Collections.
ADAMS Accession Number: ML093640691
OFFICE
DCI
Tech Editor
BC:CSGB:DCI
D:DCI
NAME
KKarwoski
KAzariah-Kribbs
RTaylor
MEvans
DATE
01/19/10
01/04/10 e-mail
01/22/10
01/27/10
OFFICE
LA:PGCB:NRR
PM:PGCB:NRR
BC:PGCB:NRR
D:DPR:NRR
NAME
CHawes
DBeaulieu
MMurphy
TMcGinty
OFFICE
01/28/10
01/27/10
02/02/10
02/03/10
OFFICIAL RECORD COPY