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An alternative time-domain index for condition monitoring of rolling element bearings—A comparison study

Author

Listed:
  • Tao, Bo
  • Zhu, Limin
  • Ding, Han
  • Xiong, Youlun

Abstract

Statistical moments have been widely used for detection and diagnosis of rolling element bearing damage. Among them, Kurtosis and Honarvar third moment Sr are the major parameters. In this paper a new statistical moment, from the viewpoint of Rényi entropy, is derived, which is shown to be as effective as kurtosis and Sr. Comprehensive comparisons of kurtosis, Sr and this moment are performed, and the results from simulations and experiments show the new moment has a better overall performance than kurtosis and Sr. On the one hand, this moment behaves much like kurtosis but is less susceptible to spurious vibrations, which is considered to be one of the main shortcomings of higher statistical moments including kurtosis. On the other hand, from the viewpoint of sensitivity to incipient faults, which is the major drawback of lower statistical moments including Sr, the new moment is superior to Sr. Moreover, the sensitivity of this new moment to changes of bearing speed and load is also less than kurtosis and is close to that of Sr.

Suggested Citation

  • Tao, Bo & Zhu, Limin & Ding, Han & Xiong, Youlun, 2007. "An alternative time-domain index for condition monitoring of rolling element bearings—A comparison study," Reliability Engineering and System Safety, Elsevier, vol. 92(5), pages 660-670.
    • Handle: RePEc:eee:reensy:v:92:y:2007:i:5:p:660-670
    DOI: 10.1016/j.ress.2006.03.005
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    Cited by:

    1. Jianqiang Liu & Aifeng Chen & Nan Zhao, 2018. "An Intelligent Fault Diagnosis Method for Bogie Bearings of Metro Vehicles Based on Weighted Improved D-S Evidence Theory," Energies, MDPI, vol. 11(1), pages 1-21, January.

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