A novel feature extraction for eddy current testing of steam generator tubes
Author:
Publisher
Elsevier BV
Subject
Mechanical Engineering,Condensed Matter Physics,General Materials Science
Reference9 articles.
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3. A generalized likelihood ratio technique for automated analysis of bobbin coil eddy current data;Das;NDT&E Int,2002
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1. Depth Evaluation for Metal Surface Defects by Eddy Current Testing Using Deep Residual Convolutional Neural Networks;IEEE Transactions on Instrumentation and Measurement;2021
2. Simultaneous Extraction of Multiple Parameters From a Transmit–Receive Eddy Current Probe Above a Layered Planar Conductive Structure;Journal of Nondestructive Evaluation, Diagnostics and Prognostics of Engineering Systems;2020-06-26
3. Tsallis Entropy Segmentation and Shape Feature-based Classification of Defects in the Simulated Magnetic Flux Leakage Images of Steam Generator Tubes;International Journal of Pattern Recognition and Artificial Intelligence;2019-05-29
4. PWR heat exchanger tube defects: Trends, signatures and diagnostic techniques;Progress in Nuclear Energy;2019-04
5. Evaluation of machine learning tools for inspection of steam generator tube structures using pulsed eddy current;AIP Conference Proceedings;2017
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