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Chapuis B., Calmon P., Jenson F. Best Practices for the Use of Simulation in POD Curves Estimation: Application to UT Weld Inspection

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Chapuis B., Calmon P., Jenson F. Best Practices for the Use of Simulation in POD Curves Estimation: Application to UT Weld Inspection
Springer International Publishing AG, 2018. — 57 p. — (IIW Collection) — ISBN: 978-3-319-62658-1.
The quantification of the performances of a Non-Destructive Technique (NDT) is essential to guarantee the safety of critical industrial components. Two main indicators are commonly used:
• Reliability: the ability of the technique to detect defects under realistic conditions of application.
• Accuracy: the effectiveness of the technique to size the defect.
The estimation of Probability of Detection (POD) curves consists in a systematic methodology to evaluate the reliability of one inspection technique when applied to a defined class of parts. Meanwhile, the accuracy of the technique is evaluated establishing defect sizing curves (i.e. curves comparing size determined by the NDT to real size of defects obtained through destructive measurements), in particular to guarantee that the system does not undersize the defects.
Background on POD and MAPOD Approach
Recommendation Documents on Statistical Methodology Dedicated to POD Analysis
Documentation and Recent Initiatives on the Use of Simulation in the Context of POD
Advantages and Limitations of the Simulation
Advantages of Simulation Difficulties, Limitations
Possible Ways of Using Simulation in the Context of POD Curve Estimation
Prerequisites for the Use of Simulation
Validation of the Software Tools
Training/Expertise of the Operators
Methodology and Guidance
Basics of Statistics for POD
Best Practices Principles and Guidance for POD Curves Estimation Using Simulation
Best Practice Principles and Guidance for the Exploitation of Simulated POD Data in Relation with Experimental Data
Appendix: Specificities of AUT Systems Using Zonal Discrimination Method.
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