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Tomizawa, Takuma
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Publications (2/2 displayed)
- 2023Applicability of simulation-assisted probability of detection analysis considering multiple signal features to eddy current testing of weld
- 2021Probability of detection model based on hit / miss data considering multiple signal features and multiple flaw parameters from eddy current testing suffering low signal to noise ratio
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article
Probability of detection model based on hit / miss data considering multiple signal features and multiple flaw parameters from eddy current testing suffering low signal to noise ratio
Abstract
This study developed a probabilistic method based on hit/miss analysis to evaluate the detection capability of eddy current testing (ECT) under low signal-to-noise (S/N) ratio, taking into consideration multiple signal features and multiple flaw parameters. Realistic corrosion pits on stainless steel clads were prepared and eddy current inspection was conducted to gather flaw signal and noise. The proposed method was applied to the experimental data. Hit/miss of flaw signals were judged by the threshold using multiple signal features. The Hit/miss results were fitted to the selected function of probability of detection (POD) based on extended information criteria. The POD’s 95% upper confidence bounds were generated by bootstrap method. Experimental results, generated POD contours, and 95% upper confidence bounds indicate that the proposed method allows for reasonable evaluation of the detection capability.