A roller bearing fault diagnosis method based on local mean decomposition and morphological fractal dimension

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Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (9) : 90-94.

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A roller bearing fault diagnosis method based on local mean decomposition and morphological fractal dimension

ZHANG Kang，CHENG Jun-sheng，YANG Yu

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Abstract

The roller bearing vibration signals usually have the characteristics including nonlinearity and low signal to noise ratio. In view of this problem, a roller bearing fault diagnosis method based on local mean decomposition (LMD) and morphological fractal dimension is proposed. In this method, firstly, the roller bearing vibration signal is decomposed into a set of product functions (PFs) by LMD, and then the morphological fractal dimension of PF which contain the roller bearing fault characteristics is calculated, and it as the characteristic parameter to judging the roller bearing working conditions and fault types. The analytical results from the experimental roller bearing vibration signals indicate that this method can be applied to the roller bearing fault diagnosis effectively.

Key words

Local mean decomposition / Morphology / Fractal dimension / Roller bearing / Fault diagnosis

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ZHANG Kang;CHENG Jun-sheng;YANG Yu. A roller bearing fault diagnosis method based on local mean decomposition and morphological fractal dimension[J]. Journal of Vibration and Shock, 2013, 32(9): 90-94