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Fault Diagnosis of Rolling Bearings using Multifractal Detrended Fluctuation Analysis and Mahalanobis Distance Criterion

Lin, Jinshan, Chen, Qian, Tian, Xiange and Gu, Fengshou (2012) Fault Diagnosis of Rolling Bearings using Multifractal Detrended Fluctuation Analysis and Mahalanobis Distance Criterion. In: Proceedings of the 18th International Conference on Automation and Computing (ICAC) 2012: Integration of Design and Engineering. IEEE, Loughborough, UK, pp. 1-6. ISBN 9781467317221

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    Abstract

    Vibrations of a defective rolling bearing often
    exhibit nonstationary and nonlinear characteristics which are
    submerged in strong noise and interference components. Thus,
    diagnostic feature extraction is always a challenge and has
    aroused wide concerns for a long time. In this paper, the
    multifractal detrended fluctuation analysis (MF-DFA) is
    applied to uncover the multifractality buried in nonstationary
    time series for exploring rolling bearing fault data.
    Subsequently, a new approach for fault diagnosis is proposed
    based on MF-DFA and Mahalanobis distance criterion. The
    multifractality of bearing data is estimated with the
    generalized Hurst exponent and the multifractal spectrum.
    Five characteristic parameters which are sensitive to changes
    of bearing fault conditions are extracted from the spectrum
    for diagnosis of fault sizes. For benchmarking this new
    method, the empirical mode decomposition (EMD) method is
    also employed to analyze the same dataset. The results show
    that MF-DFA outperforms EMD in revealing the nature of
    rolling bearing fault data.

    Item Type: Book Chapter
    Subjects: T Technology > T Technology (General)
    T Technology > TA Engineering (General). Civil engineering (General)
    T Technology > TK Electrical engineering. Electronics Nuclear engineering
    Schools: School of Computing and Engineering
    School of Computing and Engineering > Automotive Engineering Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Energy, Emissions and the Environment Research Group
    School of Computing and Engineering > Diagnostic Engineering Research Centre > Machinery Condition and Performance Monitoring Research Group
    School of Computing and Engineering > Informatics Research Group > XML, Database and Information Retrieval Research Group
    Related URLs:
    Depositing User: Sara Taylor
    Date Deposited: 20 Sep 2012 14:03
    Last Modified: 05 Jun 2013 12:50
    URI: http://eprints.hud.ac.uk/id/eprint/14998

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