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

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 arri...

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Main Authors:	Tian, G.Y., Sophian, Ali, Taylor, D., Rudlin, J.
Format:	Article
Language:	English
Published:	Institute of Electrical Engineers 2005
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://irep.iium.edu.my/47012/ http://irep.iium.edu.my/47012/1/iet_Wavelet-based_PCA_defect_classification.pdf

id	iium-47012
recordtype	eprints
spelling	iium-470122016-01-14T08:07:10Z http://irep.iium.edu.my/47012/ Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT Tian, G.Y. Sophian, Ali Taylor, D. Rudlin, J. TK Electrical engineering. Electronics Nuclear engineering 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. Institute of Electrical Engineers 2005-07 Article PeerReviewed application/pdf en http://irep.iium.edu.my/47012/1/iet_Wavelet-based_PCA_defect_classification.pdf 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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TK Electrical engineering. Electronics Nuclear engineering
spellingShingle	TK Electrical engineering. Electronics Nuclear engineering Tian, G.Y. Sophian, Ali Taylor, D. Rudlin, J. Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT
description	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.
format	Article
author	Tian, G.Y. Sophian, Ali Taylor, D. Rudlin, J.
author_facet	Tian, G.Y. Sophian, Ali Taylor, D. Rudlin, J.
author_sort	Tian, G.Y.
title	Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT
title_short	Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT
title_full	Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT
title_fullStr	Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT
title_full_unstemmed	Wavelet-based PCA defect classification and quantification for pulsed eddy current NDT
title_sort	wavelet-based pca defect classification and quantification for pulsed eddy current ndt
publisher	Institute of Electrical Engineers
publishDate	2005
url	http://irep.iium.edu.my/47012/ http://irep.iium.edu.my/47012/1/iet_Wavelet-based_PCA_defect_classification.pdf
first_indexed	2023-09-18T21:06:54Z
last_indexed	2023-09-18T21:06:54Z
_version_	1777410993901535232

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

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