A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}

Pulsed Eddy current (PEC) is a new emerging {NDT} technique for sub-surface defect detection. The technique mainly uses the response peak value and arrival to detect and quantify the defects. This could suffer from noise and be not sufficient to extract more information about the defects, e.g. depth...

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Main Authors: Sophian, Ali, Tian, Gui Yun, Taylor, David, Rudlin, John
Format: Article
Language:English
Published: Elsevier 2003
Subjects:
Online Access:http://irep.iium.edu.my/46710/
http://irep.iium.edu.my/46710/1/A_feature_extraction_technique_based_on_principal_component.pdf
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author Sophian, Ali
Tian, Gui Yun
Taylor, David
Rudlin, John
author_facet Sophian, Ali
Tian, Gui Yun
Taylor, David
Rudlin, John
author_sort Sophian, Ali
building IIUM Repository
collection Online Access
description Pulsed Eddy current (PEC) is a new emerging {NDT} technique for sub-surface defect detection. The technique mainly uses the response peak value and arrival to detect and quantify the defects. This could suffer from noise and be not sufficient to extract more information about the defects, e.g. depth information of defects. This paper introduces the application of principal component analysis in extracting information from {PEC} responses. A comparative test carried out shows that the introduced technique has performed better than the conventional technique in the classification of defects.
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format Article
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institution International Islamic University Malaysia
institution_category Local University
language English
last_indexed 2025-11-14T16:14:38Z
publishDate 2003
publisher Elsevier
recordtype eprints
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spelling iium-467102016-07-20T23:49:19Z http://irep.iium.edu.my/46710/ A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT} Sophian, Ali Tian, Gui Yun Taylor, David Rudlin, John TA165 Engineering instruments, meters, etc. Industrial instrumentation Pulsed Eddy current (PEC) is a new emerging {NDT} technique for sub-surface defect detection. The technique mainly uses the response peak value and arrival to detect and quantify the defects. This could suffer from noise and be not sufficient to extract more information about the defects, e.g. depth information of defects. This paper introduces the application of principal component analysis in extracting information from {PEC} responses. A comparative test carried out shows that the introduced technique has performed better than the conventional technique in the classification of defects. Elsevier 2003 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46710/1/A_feature_extraction_technique_based_on_principal_component.pdf Sophian, Ali and Tian, Gui Yun and Taylor, David and Rudlin, John (2003) A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}. NDT & E International , 36 (1). 37 - 41. ISSN 0963-8695 http://www.sciencedirect.com/science/article/pii/S0963869502000695
spellingShingle TA165 Engineering instruments, meters, etc. Industrial instrumentation
Sophian, Ali
Tian, Gui Yun
Taylor, David
Rudlin, John
A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}
title A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}
title_full A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}
title_fullStr A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}
title_full_unstemmed A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}
title_short A feature extraction technique based on principal component analysis for pulsed Eddy current {NDT}
title_sort feature extraction technique based on principal component analysis for pulsed eddy current {ndt}
topic TA165 Engineering instruments, meters, etc. Industrial instrumentation
url http://irep.iium.edu.my/46710/
http://irep.iium.edu.my/46710/
http://irep.iium.edu.my/46710/1/A_feature_extraction_technique_based_on_principal_component.pdf