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Motor current signal analysis using a modified bispectrum for machine fault diagnosis

Gu, F, Shao, Y, Hu, N, Fazenda, BM and Ball, A 2009, Motor current signal analysis using a modified bispectrum for machine fault diagnosis , in: ICROS-SICE International Joint Conference 2009, 18th - 21st August 2009, Fukuoka, Japan.

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    Abstract

    This paper presents the use of the induction motor current to identify and quantify common faults within a two-stage reciprocating compressor. The theoretical basis is studied to understand current signal characteristics when the motor undertakes a varying load under faulty conditions. Although conventional bispectrum representation of current signal allows the inclusion of phase information and the elimination of Gaussian noise, it produces unstable results due to random phase variation of the sideband components in the current signal. A modified bispectrum based on the amplitude modulation feature of the current signal is thus proposed to combine both lower sidebands and higher sidebands simultaneously and hence describe the current signal more accurately. Based on this new bispectrum a more effective diagnostic feature namely normalised bispectral peak is developed for fault classification. In association with the kurtosis of the raw current signal, the bispectrum feature gives rise to reliable fault classification results. In particular, the low feature values can differentiate the belt looseness from other fault cases and discharge valve leakage and intercooler leakage can be separated easily using two linear classifiers. This work provides a novel approach to the analysis of stator current for the diagnosis of motor drive faults from downstream driving equipment.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: Modified Bispectrum, Kurtosis, Induction Motor, Current Signature Analysis, Reciprocating Compressor
    Themes: Subjects / Themes > T Technology > TJ Mechanical engineering and machinery
    Subjects outside of the University Themes
    Schools: Colleges and Schools > College of Science & Technology
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering
    Colleges and Schools > College of Science & Technology > School of Computing, Science and Engineering > Acoustics Research Centre
    Journal or Publication Title: Proceedings of the ICROS-SICE International Joint Conference 2009
    Publisher: IEEE Xplore
    Refereed: Yes
    Depositing User: BM Fazenda
    Date Deposited: 22 Jun 2010 10:30
    Last Modified: 20 Aug 2013 17:19
    URI: http://usir.salford.ac.uk/id/eprint/9392

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