Automatic Detection of High Temperature Hydrogen Attack Defects from Ultrasonic A-scan Signals.
Successful application of the rich collection of classification algorithms to nondestructive testing signals depends heavily on the availability of adequate and representative sets of training examples, whose acquisition can often be very expensive and time consuming. In this paper, an out-of-servic...
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| Format: | article |
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2020
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/1456/1/d2_s9_p3_1569048580.pdf |
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