Chinese Journal of Ship Research, Volume. 17, Issue 2, 190(2022)

Rolling bearing fault diagnosis method based on modified fourier mode decomposition and band entropy

Junfeng LIU1, Xiang YU2, and Haibo WAN2
Author Affiliations
  • 1College of Power Engineering, Naval University of Engineering, Wuhan 430033, China
  • 2College of Naval Architecture and Ocean Engineering, Naval University of Engineering, Wuhan 430033, China
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    References(9)

    [9] [9] RILLING G, FLRIN P. On the influence of sampling on the empirical mode decomposition[C]2006 IEEE International Conference on Acoustics Speech Signal Processing Proceedings. Toulouse, France: IEEE, 2006.

    [14] SINGH P, JOSHI S D, PATNEY R K et al. The Fourier decomposition method for nonlinear and non-stationary time series analysis[J]. Proceedings of the Royal Society of London, Series A: Mathematical, Physical and Engineering Sciences, 473, 20160871(2017).

    [18] ANTONI J. Cyclic spectral analysis of rolling-element bearing signals: facts and fictions[J]. Journal of Sound and Vibration, 304, 497-529(2007).

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    Junfeng LIU, Xiang YU, Haibo WAN. Rolling bearing fault diagnosis method based on modified fourier mode decomposition and band entropy[J]. Chinese Journal of Ship Research, 2022, 17(2): 190

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    Paper Information

    Category: Marine Machinery, Electrical Equipment and Automation

    Received: Apr. 20, 2021

    Accepted: --

    Published Online: Mar. 24, 2025

    The Author Email:

    DOI:10.19693/j.issn.1673-3185.02359

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