ML070860274

8th Pinc Meeting Feb. 5-6, 2007, DAG-01 Analysis Scheme for Pinc Round Robin Test

ML070860274
Person / Time
Site:	North Anna
Issue date:	02/05/2007
From:	Doctor S, Heasler P, Schuster G Battelle Memorial Institute, Pacific Northwest National Laboratory, US Dept of Energy (DOE)
To:	Office of Nuclear Reactor Regulation
Shared Package
ML070860236	List: ML070860251 ML070860274 ML070860287 ML070860321
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Download: ML070860274 (13)

Text

b 5-6, 2007 DAG -01 DAG-01 Analysis Scheme for PINC Round Robin Test by P.G. Heasler, S.R Doctor, and G.J. Schuster

07 DAG -01 Analysis Scheme DAG-01 Presentation Outline Introduction Data Necessary for Evaluation Scoring Inspection Results Data Validation Analysis Methods and Statistics 2

DAG-01 Analysis Scheme Introduction Inspection Performance is quantified z Detect flaws z Size flaws z Characterize as rejectable. Because PWSCC grows fast, perhaps any flaw that can be identified as PWSCC should be characterized as rejectable DAG will need to establish a position on this.

3

DAG-01 Analysis Scheme Introduction (cont.)

The analysis is organized into categories z Procedure analysis. How well did each procedure do.

z Flaw analysis. How easy or difficult was each flaw to detect and characterize z Regression analysis. Estimate the relationships between inspection performance and important variables, such as flaw size.

4

DAG -01 Analysis Scheme DAG-01 Data Necessary for Evaluation Test Block Data z Thickness, radius, width, length, etc.

Flaw Data z Type, dimensions, location, orientation, etc.

Procedure Data z (next slide) 5

DAG-01 Analysis Scheme DAG-01 Data Necessary for Evaluation (cont.)

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DAG-01 Analysis Scheme DAG-01 Data Necessary for Evaluation (cont.)

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DAG -01 Analysis Scheme DAG-01 Scoring Inspection Results 8

DAG -01 Analysis Scheme DAG-01 Scoring Inspection Results (cont.)

DAG selects scoring tolerance 9

DAG -01 Analysis Scheme DAG-01 Data Validation Enter Inspection Data Plot indications on test block drawings Send plots and tables to Inspectors/Invigilators Identify and correct errors 10

DAG -01 Analysis Scheme DAG-01 Analysis Methods and Statistics Inspection performance statistics z POD: probability of detection z POR: probability of rejection z FCR: false call rate z SE: sizing error z LE: Location error 11

DAG-01 Analysis Scheme DAG-01 Analysis Methods and Statistics (cont.)

Analysis from Individual Procedure Perspective z POD, POR, FCR, MSE, MLE, RMSE Analysis from Flaw Perspective z POD, POR, MSE, MLE, RMSE Analysis from Regression Perspective z Regression model for POD z Regression model for Sizing Performance z Models for POR 12

DAG -01 Analysis Scheme DAG-01 Analysis Process Once all RRT data are in database decisions will be made for what needs to be destructively characterized Oversee destructive testing Finalize true state data Conduct full analysis Write report 13