Defect classification using a new feature for pulsed eddy current sensors

The objective of this study is to identify defects such as surface cracks, subsurface defects and metal losses using feature based pulsed eddy current sensors. A new feature, termed as the rising point, related to the propagation time of electromagnetic waves in metallic targets is proposed for defe...

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Main Authors: Tian, Gui Yun, Sophian, Ali
Format: Article
Language:English
Published: Elsevier 2005
Subjects:
Online Access:http://irep.iium.edu.my/46713/
http://irep.iium.edu.my/46713/1/Defect_classification_using_a_new_feature_for_pulsed_eddy_current_sensors.pdf
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author Tian, Gui Yun
Sophian, Ali
author_facet Tian, Gui Yun
Sophian, Ali
author_sort Tian, Gui Yun
building IIUM Repository
collection Online Access
description The objective of this study is to identify defects such as surface cracks, subsurface defects and metal losses using feature based pulsed eddy current sensors. A new feature, termed as the rising point, related to the propagation time of electromagnetic waves in metallic targets is proposed for defect classification. Experimental studies of the validation, robustness of the new feature of rising time are reported. In addition to other features, defects can be detected and quantified robustly and lift-off can also be derived from the rising time. Conclusion and further work are derived on the basis of the findings.
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institution International Islamic University Malaysia
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publishDate 2005
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spelling iium-467132016-07-20T23:51:24Z http://irep.iium.edu.my/46713/ Defect classification using a new feature for pulsed eddy current sensors Tian, Gui Yun Sophian, Ali TA165 Engineering instruments, meters, etc. Industrial instrumentation The objective of this study is to identify defects such as surface cracks, subsurface defects and metal losses using feature based pulsed eddy current sensors. A new feature, termed as the rising point, related to the propagation time of electromagnetic waves in metallic targets is proposed for defect classification. Experimental studies of the validation, robustness of the new feature of rising time are reported. In addition to other features, defects can be detected and quantified robustly and lift-off can also be derived from the rising time. Conclusion and further work are derived on the basis of the findings. Elsevier 2005 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46713/1/Defect_classification_using_a_new_feature_for_pulsed_eddy_current_sensors.pdf Tian, Gui Yun and Sophian, Ali (2005) Defect classification using a new feature for pulsed eddy current sensors. NDT & E International , 38 (1). 77 - 82. ISSN 0963-8695 http://www.sciencedirect.com/science/article/pii/S0963869504000830
spellingShingle TA165 Engineering instruments, meters, etc. Industrial instrumentation
Tian, Gui Yun
Sophian, Ali
Defect classification using a new feature for pulsed eddy current sensors
title Defect classification using a new feature for pulsed eddy current sensors
title_full Defect classification using a new feature for pulsed eddy current sensors
title_fullStr Defect classification using a new feature for pulsed eddy current sensors
title_full_unstemmed Defect classification using a new feature for pulsed eddy current sensors
title_short Defect classification using a new feature for pulsed eddy current sensors
title_sort defect classification using a new feature for pulsed eddy current sensors
topic TA165 Engineering instruments, meters, etc. Industrial instrumentation
url http://irep.iium.edu.my/46713/
http://irep.iium.edu.my/46713/
http://irep.iium.edu.my/46713/1/Defect_classification_using_a_new_feature_for_pulsed_eddy_current_sensors.pdf