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Data fusion for defect characterisation using a dual probe system
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Edwards, R. S. (Rachel S.), Sophian, A., Dixon, S. and Tian, G. Y. (2008) Data fusion for defect characterisation using a dual probe system. Sensors and Actuators A: Physical, Vol.144 (No.1). pp. 222-228. doi:10.1016/j.sna.2007.12.020
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Official URL: http://dx.doi.org/10.1016/j.sna.2007.12.020
Abstract
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.
| Item Type: | Journal Article | ||||
|---|---|---|---|---|---|
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) | ||||
| Divisions: | Faculty of Science > Engineering Faculty of Science > Physics |
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| Library of Congress Subject Headings (LCSH): | Surfaces (Technology) -- Defects, Ultrasonic testing, Multisensor data fusion | ||||
| Journal or Publication Title: | Sensors and Actuators A: Physical | ||||
| Publisher: | Elsevier Science BV | ||||
| ISSN: | 0924-4247 | ||||
| Official Date: | 28 May 2008 | ||||
| Dates: |
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| Date of first compliant deposit: | 14 December 2015 | ||||
| Volume: | Vol.144 | ||||
| Number: | No.1 | ||||
| Number of Pages: | 7 | ||||
| Page Range: | pp. 222-228 | ||||
| DOI: | 10.1016/j.sna.2007.12.020 | ||||
| Status: | Peer Reviewed | ||||
| Publication Status: | Published | ||||
| Access rights to Published version: | Restricted or Subscription Access | ||||
| Funder: | Engineering and Physical Sciences Research Council (EPSRC) | ||||
| Grant number: | GR/S24435/01 (EPSRC), GR/S24428/01 (EPSRC) |
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