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Inter-Turn Short Circuit Detection Based on Modulation Signal Bispectrum Analysis of Motor Current Signals

Alwodai, Ahmed, Shao, Y., Yuan, X., Ahmed, M., Gu, Fengshou and Ball, Andrew (2013) Inter-Turn Short Circuit Detection Based on Modulation Signal Bispectrum Analysis of Motor Current Signals. In: Proceedings of the 19th International Conference on Automation and Computing (ICAC) 2013: Future Energy and Automation. ICAC 2013 . Brunel University, London, UK. ISBN 978-1908549082

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Abstract

Motor current signature analysis (MCSA) is a common practice in industry for finding motor faults. However, because of small modulations caused by faults and high noise contamination, it is difficult to quantify the modulation in measured signals which is dominated by the supply frequency, higher order harmonics and noise. In this paper a modulation signal bispectrum (MSB) is investigated to detect stator winding faults. This type of fault can cause high winding temperatures which may effect on current signal so motor temperature will be considered in this paper. The results show that MSB has the capability to accurately estimate modulation degrees and suppress the random and non-modulation components. The test results show that MSB has a better performance in differentiating spectrum amplitudes due to stator faults, and hence produces better diagnosis performance, compared with that of conventional power spectrum analysis.

Item Type: Book Chapter
Subjects: T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
Schools: School of Computing and Engineering
School of Computing and Engineering > Automotive Engineering Research Group
School of Computing and Engineering > Diagnostic Engineering Research Centre > Measurement System and Signal Processing Research Group
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Depositing User: Sara Taylor
Date Deposited: 24 Sep 2013 15:03
Last Modified: 01 Dec 2016 15:12
URI: http://eprints.hud.ac.uk/id/eprint/18555

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