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Feature extraction and selection for defect classification of pulsed eddy current NDT

Chen, Tianlu and Tian, Gui Yun and Sophian, Ali and Que, Pei Wen (2008) Feature extraction and selection for defect classification of pulsed eddy current NDT. NDT & E International , 41 (6). 467 - 476. ISSN 0963-8695

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Abstract

Pulsed eddy current (PEC) is a new emerging nondestructive testing (NDT) technique using a broadband pulse excitation with rich frequency information and has wide application potentials. This technique mainly uses feature points and response signal shapes for defect detection and characterization, including peak point, frequency analysis, and statistical methods such as principal component analysis (PCA). This paper introduces the application of Hilbert transform to extract a new descending feature point and use the point as a cutoff point of sampling data for detection and feature estimation. The response signal is then divided by the conventional rising, peak, and the new descending points. Some shape features of the rising part and descending part are extracted. The characters of shape features are also discussed and compared. Various feature selection and integrations are proposed for defect classification. Experimental studies, including blind tests, show the validation of the new features and combination of selected features in defect classification. The robustness of the features and further work are also discussed.

Item Type: Article (Journal)
Additional Information: 7258/46712
Uncontrolled Keywords: Defect classification
Subjects: T Technology > TA Engineering (General). Civil engineering (General) > TA165 Engineering instruments, meters, etc. Industrial instrumentation
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Ali Sophian
Date Deposited: 14 Jan 2016 15:01
Last Modified: 20 Oct 2016 16:06
URI: http://irep.iium.edu.my/id/eprint/46712

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