Data fusion for defect characterisation using a dual probe system

We present recent work on a dual probe system containing electromagnetic acoustic transducers (EMATs) generating and detecting surface ultrasonic waves, and a pulsed eddy current (PEC) probe. This system is able to detect and size surface and near-surface defects in electrically conducting samples b...

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Main Authors: Edwards, R.S., Sophian, Ali, Dixon, S., Tian, G.Y.
Format: Article
Language:English
Published: Elsevier 2008
Subjects:
Online Access:http://irep.iium.edu.my/46709/
http://irep.iium.edu.my/46709/1/Data_fusion_for_defect_characterisation_using_a_dual_probe_system.pdf
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author Edwards, R.S.
Sophian, Ali
Dixon, S.
Tian, G.Y.
author_facet Edwards, R.S.
Sophian, Ali
Dixon, S.
Tian, G.Y.
author_sort Edwards, R.S.
building IIUM Repository
collection Online Access
description We present recent work on a dual probe system containing electromagnetic acoustic transducers (EMATs) generating and detecting surface ultrasonic waves, and a pulsed eddy current (PEC) probe. This system is able to detect and size surface and near-surface defects in electrically conducting samples by looking at changes in the detected signal for each probe. By combining the information from each probe using a weighted logic function for data fusion, it is possible to both classify and size defects, with increased reliability. By combining the data in this way one obtains information about the defects which is not available when using either probe in isolation. Typical results on steel and aluminium samples are presented, along with information about the data fusion function. The dual probe and data fusion routine has been demonstrated to work at manual-scanning speeds, with higher speeds possible following some simple improvements to the system.
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spelling iium-467092016-01-14T08:11:30Z http://irep.iium.edu.my/46709/ Data fusion for defect characterisation using a dual probe system Edwards, R.S. Sophian, Ali Dixon, S. Tian, G.Y. TA165 Engineering instruments, meters, etc. Industrial instrumentation We present recent work on a dual probe system containing electromagnetic acoustic transducers (EMATs) generating and detecting surface ultrasonic waves, and a pulsed eddy current (PEC) probe. This system is able to detect and size surface and near-surface defects in electrically conducting samples by looking at changes in the detected signal for each probe. By combining the information from each probe using a weighted logic function for data fusion, it is possible to both classify and size defects, with increased reliability. By combining the data in this way one obtains information about the defects which is not available when using either probe in isolation. Typical results on steel and aluminium samples are presented, along with information about the data fusion function. The dual probe and data fusion routine has been demonstrated to work at manual-scanning speeds, with higher speeds possible following some simple improvements to the system. Elsevier 2008 Article PeerReviewed application/pdf en http://irep.iium.edu.my/46709/1/Data_fusion_for_defect_characterisation_using_a_dual_probe_system.pdf Edwards, R.S. and Sophian, Ali and Dixon, S. and Tian, G.Y. (2008) Data fusion for defect characterisation using a dual probe system. Sensors and Actuators A: Physical , 144 (1). 222 - 228. ISSN 0924-4247 http://www.sciencedirect.com/science/article/pii/S0924424707009016
spellingShingle TA165 Engineering instruments, meters, etc. Industrial instrumentation
Edwards, R.S.
Sophian, Ali
Dixon, S.
Tian, G.Y.
Data fusion for defect characterisation using a dual probe system
title Data fusion for defect characterisation using a dual probe system
title_full Data fusion for defect characterisation using a dual probe system
title_fullStr Data fusion for defect characterisation using a dual probe system
title_full_unstemmed Data fusion for defect characterisation using a dual probe system
title_short Data fusion for defect characterisation using a dual probe system
title_sort data fusion for defect characterisation using a dual probe system
topic TA165 Engineering instruments, meters, etc. Industrial instrumentation
url http://irep.iium.edu.my/46709/
http://irep.iium.edu.my/46709/
http://irep.iium.edu.my/46709/1/Data_fusion_for_defect_characterisation_using_a_dual_probe_system.pdf