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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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 |
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International Islamic University Malaysia |
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Online Access |
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English |
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TA165 Engineering instruments, meters, etc. Industrial instrumentation |
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TA165 Engineering instruments, meters, etc. Industrial instrumentation Tian, Gui Yun Sophian, Ali Defect classification using a new feature for pulsed eddy current sensors |
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. |
format |
Article |
author |
Tian, Gui Yun Sophian, Ali |
author_facet |
Tian, Gui Yun Sophian, Ali |
author_sort |
Tian, Gui Yun |
title |
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_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_sort |
defect classification using a new feature for pulsed eddy current sensors |
publisher |
Elsevier |
publishDate |
2005 |
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 |
first_indexed |
2023-09-18T21:06:29Z |
last_indexed |
2023-09-18T21:06:29Z |
_version_ |
1777410968082448384 |