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Analysis of electrical resonance distortion for inductive sensing applications
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Hughes, Robert R. and Dixon, Steve M. (2018) Analysis of electrical resonance distortion for inductive sensing applications. IEEE Sensors Journal . doi:10.1109/JSEN.2018.2841506 ISSN 1558-1748.
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WRAP-analysis-electrical-resonance-distortion-sensing-applications-Dixon-2018.pdf - Accepted Version - Requires a PDF viewer. Download (3099Kb) | Preview |
Official URL: http://dx.doi.org/10.1109/JSEN.2018.2841506
Abstract
Resonating inductive sensors are increasingly popular for numerous measurement techniques, not least in non-destructive testing (NDT), due to the increased sensitivity obtained at frequencies approaching electrical resonance. The highly unstable nature of resonance limits the practical application of such methods while no comprehensive understanding exists of the resonance distorting behaviour in relation to typical measurements and environmental factors. In this paper, a study into the frequency spectrum behaviour of electrical resonance is carried out exploring the effect of key factors. These factors, known to distort the electrical resonance of inductive sensors, include proximity to (or lift-off from) a material surface, and the presence of discontinuities in the material surface. Critical features of resonance are used as metrics to evaluate the behaviour of resonance with lift-off and defects. Experimental results are compared to results from a 2D finite element analysis (FEA) model that geometrically mimics the inductive sensor used in the experiments, and to results predicted by an equivalent circuit transformer model. The findings conclusively define the physical phenomenon behind measurement techniques such as near electrical resonance signal enhancement (NERSE), and show that lift-off and defect resonance distortions are unique, measurable and can be equated to exclusive variations in the induced variables in the equivalence circuit model. The resulting understanding found from this investigation is critical to the future development and understanding of a complete model of electrical resonance behaviour, integral for the design of novel sensors, techniques and inversion models.
| Item Type: | Journal Article | |||||||||
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| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering | |||||||||
| Divisions: | Faculty of Science, Engineering and Medicine > Engineering > Engineering Faculty of Science, Engineering and Medicine > Science > Physics |
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| Library of Congress Subject Headings (LCSH): | Detectors, Resonance, Finite element method | |||||||||
| Journal or Publication Title: | IEEE Sensors Journal | |||||||||
| Publisher: | Institute of Electrical and Electronic Engineers | |||||||||
| ISSN: | 1558-1748 | |||||||||
| Official Date: | 28 May 2018 | |||||||||
| Dates: |
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| Number of Pages: | 8 | |||||||||
| DOI: | 10.1109/JSEN.2018.2841506 | |||||||||
| Status: | Peer Reviewed | |||||||||
| Publication Status: | Published | |||||||||
| Access rights to Published version: | Open Access (Creative Commons) | |||||||||
| Date of first compliant deposit: | 12 June 2018 | |||||||||
| Date of first compliant Open Access: | 13 June 2018 | |||||||||
| RIOXX Funder/Project Grant: |
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