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Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT

Tian, G.Y. and Sophian, Ali and Taylor, D. and Rudlin, J. (2005) Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT. Science, Measurement and Technology, IEE Proceedings -, 152 (4). pp. 141-148. ISSN 1350-234

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Abstract

A new approach for defect classification and quantification by using pulsed eddy current sensors and integration of principal component analysis and wavelet transform for feature based signal interpretation is presented. After reviewing the limitation of current parameters of peak value and its arrival time from pulsed eddy current signals, a two-step framework for defect classification and quantification is proposed by using adopted features from principal component analysis and wavelet analysis. For defect classification and quantification, different features have been extracted from the pulsed eddy current signals. Experimental tests have been undertaken for ferrous and non-ferrous metal samples with manufactured defects. The results have illustrated the new approach has better performance than the current approaches for surface and sub-surface defect classification. The defect quantification performance, which is difficult by using current approaches, is impressive.

Item Type: Article (Journal)
Additional Information: 7258/47012
Uncontrolled Keywords: eddy current testing;feature extraction;flaw detection;principal component analysis;signal classification;wavelet transforms;current parameters;defect classification;defect quantification;feature based signal interpretation;feature extraction;ferrous metal samples;nondestructive testing;nonferrous metal samples;principal component analysis;pulsed eddy current NDT;pulsed eddy current sensors;pulsed eddy current signals;wavelet analysis;wavelet transform
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering
Kulliyyahs/Centres/Divisions/Institutes: Kulliyyah of Engineering > Department of Mechatronics Engineering
Depositing User: Dr Ali Sophian
Date Deposited: 14 Jan 2016 07:24
Last Modified: 14 Jan 2016 08:07
URI: http://irep.iium.edu.my/id/eprint/47012

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