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dc.contributor.authorLee, Kyungmi
dc.contributor.authorEstivill-Castro, Vladimir
dc.date.accessioned2017-05-03T14:15:53Z
dc.date.available2017-05-03T14:15:53Z
dc.date.issued2007
dc.identifier.issn1568-4946
dc.identifier.doi10.1016/j.asoc.2005.05.003
dc.identifier.urihttp://hdl.handle.net/10072/17246
dc.description.abstractDiscrete 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.
dc.description.peerreviewedYes
dc.description.publicationstatusYes
dc.languageEnglish
dc.language.isoeng
dc.publisherElsevier
dc.publisher.placeHolland
dc.relation.ispartofstudentpublicationN
dc.relation.ispartofpagefrom156
dc.relation.ispartofpageto165
dc.relation.ispartofissue1
dc.relation.ispartofjournalApplied Soft Computing
dc.relation.ispartofvolume7
dc.rights.retentionY
dc.subject.fieldofresearchApplied mathematics
dc.subject.fieldofresearchInformation systems
dc.subject.fieldofresearchcode4901
dc.subject.fieldofresearchcode4609
dc.titleFeature extraction and gating techniques for ultrasonic shaft signal classification
dc.typeJournal article
dc.type.descriptionC1 - Articles
dc.type.codeC - Journal Articles
gro.facultyGriffith Sciences, School of Information and Communication Technology
gro.date.issued2015-02-12T00:44:14Z
gro.hasfulltextNo Full Text
gro.griffith.authorEstivill-Castro, Vladimir
gro.griffith.authorLee, Kyungmi


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