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International Journal of Latest Research in Science and Technology

DOI:10.29111/ijlrst   ISRA Impact Factor:3.35,  Peer-reviewed, Open-access Journal

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Rolling Element Bearing Fault Diagnosis Based on Envelope Spectrum of Fractional Lower Order Covariance

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International Journal of Latest Research in Science and Technology Vol.9 Issue 3, pp 14-20,Year 2020

ROLLING ELEMENT BEARING FAULT DIAGNOSIS BASED ON ENVELOPE SPECTRUM OF FRACTIONAL LOWER ORDER COVARIANCE

Bo Zhang, Hui Li*

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Received : 25 June 2020; Accepted : 29 June 2020 ; Published : 30 June 2020

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Article No. 10995
Abstract

Extracting the signature frequency of the impacts caused by the rolling element bearing fault in the environment of alpha stable distribution noise, the conventional envelope spectrum analysis method based on second-order statistics are not effective. With regard to the difficulty, a new envelope spectrum analysis method is proposed based on fractional lower order covariance. Firstly, the definition and properties of alpha stable distribution are described. The calculation method of fractional lower order statistics is presented. Then, simulation signals are used to compare the effects of the conventional envelope spectrum with the fractional lower order covariance based envelope spectrum in extracting the signature frequency of the impacts. Finally, the conclusion is reached that the fractional lower order covariance based envelope spectrum is valid in extracting the fault signature frequency in both Gaussian and alpha stable distributed background noise.

Key Words   
Rolling element bearing; fault diagnosis; alpha stable distribution; fractional lower order covarian

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To cite this article

Bo Zhang, Hui Li* , " Rolling Element Bearing Fault Diagnosis Based On Envelope Spectrum Of Fractional Lower Order Covariance ", International Journal of Latest Research in Science and Technology . Vol. 9, Issue 3, pp 14-20 , 2020

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