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Gearbox fault diagnosis under different operating conditions based on time synchronous average and ensemble empirical mode decomposition

Guan, L, Gu, F, Shao, Y, Fazenda, BM and Ball, A 2009, Gearbox fault diagnosis under different operating conditions based on time synchronous average and ensemble empirical mode decomposition , in: ICROS-SICE International Joint Conference 2009, 18th - 21st August 2009, Fukuoka, Japan.

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    Abstract

    In this paper, a new method is proposed by combining ensemble empirical mode decomposition (EEMD) with order tracking techniques to analyse the vibration signals from a two stage helical gearbox. The method improves EEMD results in that it overcomes the potential deficiencies and achieves better order spectrum representation for fault diagnosis. Based on the analysis, a diagnostic feature is designed based on the order spectra of extracted IFMs for detection and separation of gearbox faults. Experimental results show this feature is sensitive to different fault severities and robust to the influences from operating conditions and remote sensor locations.

    Item Type: Conference or Workshop Item (Paper)
    Uncontrolled Keywords: Empirical mode decomposition, Gearbox fault diagnosis, Time synchronous average
    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 10:24
    Last Modified: 20 Aug 2013 17:19
    URI: http://usir.salford.ac.uk/id/eprint/9391

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