A rotating machinery fault diagnosis method based on local mean decomposition and pattern spectrum

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Journal of Vibration and Shock ›› 2013, Vol. 32 ›› Issue (9) : 135-140.

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A rotating machinery fault diagnosis method based on local mean decomposition and pattern spectrum

ZHANG Kang，CHENG Jun-sheng，YANG Yu

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Abstract

According to the characteristics including rotating machinery with different types of faults will make the vibration signals have different morphological features and the signal to noise ratio of vibration signals is low, a rotating machinery fault diagnosis method based on local mean decomposition (LMD) and pattern spectrum is proposed. In this method, the original rotating machinery vibration signals can be denoised by LMD, and the morphological features of vibration signals can be reflected by pattern spectrum, thus the working states of rotating machinery can be judged. This method is applied to the rotor system fault diagnosis, and the analytical results from the fault vibration signals of rotor system indicate that this method can extract the fault characteristics from rotating machinery vibration signals effectively and recognize the fault states of rotating machinery accurately.

Key words

Local mean decomposition / Pattern spectrum / Pattern spectrum entropy / Rotating machinery / Fault diagnosis

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ZHANG Kang;CHENG Jun-sheng;YANG Yu. A rotating machinery fault diagnosis method based on local mean decomposition and pattern spectrum[J]. Journal of Vibration and Shock, 2013, 32(9): 135-140