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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my.iium.irep.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 REM 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 |
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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} |
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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. |
format |
Article |
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 |
title |
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_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_sort |
feature extraction technique based on principal component analysis for pulsed eddy current {ndt} |
publisher |
Elsevier |
publishDate |
2003 |
url |
http://irep.iium.edu.my/46710/1/A_feature_extraction_technique_based_on_principal_component.pdf http://irep.iium.edu.my/46710/ http://www.sciencedirect.com/science/article/pii/S0963869502000695 |
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13.160551 |