@inproceedings{1fba03cb75954eb9a2b130cec56a2df8,
title = "Automatic detection of high temperature hydrogen attack defects from ultrasonic A-scan signals",
abstract = "In this paper, an out-of-service pressure vessel known to have lots of high temperature hydrogen attach (HTHA) defects is used to develop in a cost effective manner a database of ultrasonic A-scan signals of this defect. Basic feature extraction method, coupled with traditional classifiers is shown to distinguish accurately the hydrogen attack defects from geometrically similar defects.",
keywords = "Classification, Feature extraction, Hydrogen attack, Nondestructive testing, Signal processing, Ultrasonic A-scan database",
author = "Ahmed Yamani and M. Deriche",
year = "2007",
doi = "10.1109/ULTSYM.2007.28",
language = "English",
isbn = "1424413834",
series = "Proceedings - IEEE Ultrasonics Symposium",
pages = "58--61",
booktitle = "2007 IEEE Ultrasonics Symposium Proceedings, IUS",
}