Feature extraction and gating techniques for ultrasonic shaft signal classification

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Title Feature extraction and gating techniques for ultrasonic shaft signal classification
Author Lee, Kyungmi; Estivill-Castro, Vladimir
Journal Name Applied Soft Computing
Year Published 2007
Place of publication Holland
Publisher Elsevier B.V.
Abstract Discrete wavelet transform (DWT) coefficients of ultrasonic test signals are considered useful features for input into classifiers due to their effective time–frequency representation of non-stationary signals. However, DWT exhibits a time-variance problem that has resulted in reservations for its wide acceptance. In this paper, a new technique to derive a preprocessing method for time-domain A-scans signal is presented. This technique offers consistent extraction of a segment of the signal from long signals that occur in the non-destructive testing of shafts. Two different classifiers using artificial neural networks and support vector machines are supplied with features generated by our new preprocessing method and their classification performance are compared and evaluated. Their performances are also compared with other alternatives and report the results here. This investigation establishes experimentally that DWT coefficients can be used as a feature extraction scheme more reliably by using our new preprocessing technique.
Peer Reviewed Yes
Published Yes
Alternative URI http://dx.doi.org/10.1016/j.asoc.2005.05.003
Volume 7
Issue Number 1
Page from 156
Page to 165
ISSN 1568-4946
Date Accessioned 2008-02-08
Date Available 2015-02-12T00:44:14Z
Language en_US
Research Centre Institute for Integrated and Intelligent Systems
Faculty Faculty of Science, Environment, Engineering and Technology
Subject PRE2009-Pattern Recognition
URI http://hdl.handle.net/10072/17246
Publication Type Journal Articles (Refereed Article)
Publication Type Code c1

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