Research on Gear Earlier Fault Diagnosis by Method of Multi-resolution Empirical Mode Decomposition and frequency domain averaging

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Journal of Vibration and Shock ›› 2009, Vol. 28 ›› Issue (5) : 97-101.

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Research on Gear Earlier Fault Diagnosis by Method of Multi-resolution Empirical Mode Decomposition and frequency domain averaging

Ju Ping-hua, Qin Shu-ren, Qin yi, Ding zhi-yu

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Abstract

Time domain averaging is a common method to extract the fault characteristics of vibration signal of rotating machineries. However, when rotating machineries occurring earlier faults, time averaging will not be applicable because of the influence of the strong background noise. It also can’t distinguish the different faults from rotating machineries effectively. Via the comparative analysis of wavelet transform、Hilbert-Huang transform and Multi-resolution Hilbert-Huang transform, based on the analysis of time synchronous averaging, a new method which combines the method of Multi-resolution Empirical Mode Decomposition (MEMD) and Frequency Domain Geometrical Average is proposed. The application results show that the proposed method can realize the earlier gear fault detection effectively.

Key words

earlier fault diagnosis / multi-resolution analysis / Hilbert-Huang transform / frequency domain average

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Ju Ping-hua;Qin Shu-ren;Qin yi;Ding zhi-yu. Research on Gear Earlier Fault Diagnosis by Method of Multi-resolution Empirical Mode Decomposition and frequency domain averaging[J]. Journal of Vibration and Shock, 2009, 28(5): 97-101