Application of marginal spectrum based on local mean decomposition in rolling bearing fault diagnosis

LI Hui-mei;AN Gang;HUANG Meng

Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (3) : 5-8.

PDF(1788 KB)
PDF(1788 KB)
Journal of Vibration and Shock ›› 2014, Vol. 33 ›› Issue (3) : 5-8.
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Application of marginal spectrum based on local mean decomposition in rolling bearing fault diagnosis

  • LI Hui-mei1,2, AN Gang1,HUANG Meng1
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Abstract

Local mean decomposition(LMD)can decompose complex multi-component signal into a linear combination of a finite set of product functions(PFs), and after obtaining the instantaneous amplitudes and instantaneous frequencies of all PF components the marginal spectrum based on LMD can be calculated. Aiming at the big end-point error problem of the direct instantaneous frequency extraction method, an improved direct method was put forward. The new rolling bearing fault diagnosis method named marginal spectrum based on LMD was proposed, and was applied in actual rolling bearing fault diagnosis. The analysis results show that the fault characteristic frequency can be extracted effectively, and the fault position can be determined.

Key words

local mean decomposition / marginal spectrum / rolling bearing / fault diagnosis / instantaneous frequency

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LI Hui-mei;AN Gang;HUANG Meng. Application of marginal spectrum based on local mean decomposition in rolling bearing fault diagnosis[J]. Journal of Vibration and Shock, 2014, 33(3): 5-8
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