Fault monitoring for axlebox bearing based on extenics and support vector data description

ZHAO Congcong1,ZHAO Yinghui2,BAI Yang3,LIU Yumei4

Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (4) : 63-68.

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PDF(1128 KB)
Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (4) : 63-68.

Fault monitoring for axlebox bearing based on extenics and support vector data description

  • ZHAO Congcong1,ZHAO Yinghui2,BAI Yang3,LIU Yumei4
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Abstract

In order to monitor the fault state of axlebox bearings, a fault monitoring method based on extenics and support vector data description (SVDD) was proposed.This method made full use of the qualitative and quantitative description characteristic of extenics and the single value classification characteristic of SVDD.The operating state matter-element of an axlebox bearing was firstly constructed by feature extracting.And then, the single-valued classifier of SVDD was trained, and the classical domains of the feature parameters in the matter-element were obtained by finding the support vectors of the minimum hypersphere.Finally, the correlation function was used to evaluate the axlebox bearing's fault state qualitatively and quantitatively.The real vibration signal analysis of the axlebox bearing verifies the feasibility and effectiveness of the proposed method.

Key words

axlebox bearing / fault monitoring / extenics / support vector data description(SVDD) / feature extraction

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ZHAO Congcong1,ZHAO Yinghui2,BAI Yang3,LIU Yumei4. Fault monitoring for axlebox bearing based on extenics and support vector data description[J]. Journal of Vibration and Shock, 2020, 39(4): 63-68

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