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:	TA165 Engineering instruments, meters, etc. Industrial instrumentation
Online Access:	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

id	iium-46709
recordtype	eprints
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
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English
topic	TA165 Engineering instruments, meters, etc. Industrial instrumentation
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
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.
format	Article
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.
title	Data fusion for defect characterisation using a dual probe system
title_short	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_sort	data fusion for defect characterisation using a dual probe system
publisher	Elsevier
publishDate	2008
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
first_indexed	2023-09-18T21:06:29Z
last_indexed	2023-09-18T21:06:29Z
_version_	1777410967492100096

Data fusion for defect characterisation using a dual probe system

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