ML070860274
| 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: |
| References | |
| Download: ML070860274 (13) | |
Text
DAG-01 Analysis Scheme for PINC Round Robin Test DAG DAG--01 01 Analysis Scheme Analysis Scheme for PINC Round Robin Test for PINC Round Robin Test 8th PINC Meeting Feb 5-6, 2007 by P.G. Heasler, S.R Doctor, and G.J. Schuster
2 DAG-01 Analysis Scheme Presentation Outline DAG DAG--01 Analysis Scheme 01 Analysis Scheme Presentation Outline Presentation Outline Feb 5-6 2007 Introduction Data Necessary for Evaluation Scoring Inspection Results Data Validation Analysis Methods and Statistics
3 Feb 5-6, 2007 DAG DAG--01 Analysis Scheme 01 Analysis Scheme Introduction 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.
4 Feb 5-6, 2007 DAG DAG--01 Analysis Scheme 01 Analysis Scheme Introduction (cont.)
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.
5 DAG-01 Analysis Scheme Data Necessary for Evaluation DAG DAG--01 Analysis Scheme 01 Analysis Scheme Data Necessary for Evaluation Data Necessary for Evaluation Feb 5-6, 2007 Test Block Data z Thickness, radius, width, length, etc.
Flaw Data z Type, dimensions, location, orientation, etc.
Procedure Data z (next slide)
6 DAG-01 Analysis Scheme Data Necessary for Evaluation (cont.)
DAG DAG--01 Analysis Scheme 01 Analysis Scheme Data Necessary for Evaluation (cont.)
Data Necessary for Evaluation (cont.)
Feb 5-6, 2007
7 DAG-01 Analysis Scheme Data Necessary for Evaluation (cont.)
DAG DAG--01 Analysis Scheme 01 Analysis Scheme Data Necessary for Evaluation (cont.)
Data Necessary for Evaluation (cont.)
Feb 5-6, 2007
8 DAG-01 Analysis Scheme Scoring Inspection Results DAG DAG--01 Analysis Scheme 01 Analysis Scheme Scoring Inspection Results Scoring Inspection Results Feb 5-6, 2007
9 DAG-01 Analysis Scheme Scoring Inspection Results (cont.)
DAG DAG--01 Analysis Scheme 01 Analysis Scheme Scoring Inspection Results (cont.)
Scoring Inspection Results (cont.)
Feb 5-6, 2007 DAG selects scoring tolerance
10 Feb 5-6,2007 DAG-01 Analysis Scheme Data Validation DAG DAG--01 Analysis Scheme 01 Analysis Scheme Data Validation Data Validation Enter Inspection Data Plot indications on test block drawings Send plots and tables to Inspectors/Invigilators Identify and correct errors
11 Feb 5-6, 2007 DAG-01 Analysis Scheme Analysis Methods and Statistics DAG DAG--01 Analysis Scheme 01 Analysis Scheme Analysis Methods and Statistics 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
12 Feb 5-6, 2007 DAG-01 Analysis Scheme Analysis Methods and Statistics (cont.)
DAG DAG--01 Analysis Scheme 01 Analysis Scheme Analysis Methods and Statistics (cont.)
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
13 Feb 5-6, 2007 DAG-01 Analysis Scheme Analysis Process DAG DAG--01 Analysis Scheme 01 Analysis Scheme Analysis Process 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