Machine fault diagnosis method based on local mean decomposition and Wigner higher moment spectrum

Liu Weibing;Li Zhinong;Jiang Jing

Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (6) : 170-173.

PDF(1635 KB)
PDF(1635 KB)
Journal of Vibration and Shock ›› 2010, Vol. 29 ›› Issue (6) : 170-173.
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Machine fault diagnosis method based on local mean decomposition and Wigner higher moment spectrum

  • Liu Weibing; Li Zhinong; Jiang Jing
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Abstract

Combining local mean decomposition (LMD) and Wigner higher moment spectrum (WHOS), a machine fault diagnosis method based on LMD and WHOS is proposed. The proposed method reserves the advantages of LMD and WHOS, and the cross-term in the WHOS can be effectively suppressed. The simulation result shows that the proposed method is superior to direct WHOS and Choi-Williams kernel filter WHOS. At last, the proposed method is succesfully applied to the rolling bearing fault diagnosis, the experiment result further verifies the effectivity of the proposed method.

Key words

Local mean decomposition (LMD) / Wigner higher moment spectrum (WHOS) / Fault diagnosis / Time-frequency analysis.

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Liu Weibing;Li Zhinong;Jiang Jing. Machine fault diagnosis method based on local mean decomposition and Wigner higher moment spectrum[J]. Journal of Vibration and Shock, 2010, 29(6): 170-173
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