Compound fault diagnosis for gearbox based on NIC-DWT-WOASVM

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Journal of Vibration and Shock ›› 2020, Vol. 39 ›› Issue (11) : 146-151.

ZHANG Xin1, ZHAO Jianmin1, LI Haiping1, NI Xianglong2, SUN Fucheng2

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Abstract

The compound fault diagnosis of gearbox is challenging because of its complexity and non-stationarity of the vibration signal. In this work, a novel hybrid method based on narrow band interference canceller (NIC), discrete wavelet transform (DWT) and support vector machine optimized by whale optimization algorithm (WOASVM) is presented for compound fault diagnosis of gearbox. Firstly, the raw signal is processed by NIC to filter the deterministic signal which interfere the fault signal. Then the signal is processed by discrete wavelet transform, the wavelet coefficients are reconstructed and the variances of the wavelet components are calculated as the characteristic parameters. Aiming at the problems of slow convergence speed and easy local optimization of traditional optimized support vector machines, the WOASVM is proposed for fault pattern recognition. The training samples is used to train WOASVM and obtain the optimized classification model, and input the test samples into the optimization model to get the diagnosis results. In order to verify the effectiveness of the proposed method, a compound fault experiment of gearbox under variable conditions is carried out. Via experimental analysis and comparison with other methods, it is proved that the method is effective for the compound fault diagnosis of gearbox.

Key words

Gearbox / Compound fault diagnosis / Narrow band interference canceller / Discrete wavelet transform / WOASVM

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ZHANG Xin1, ZHAO Jianmin1, LI Haiping1, NI Xianglong2, SUN Fucheng2. Compound fault diagnosis for gearbox based on NIC-DWT-WOASVM[J]. Journal of Vibration and Shock, 2020, 39(11): 146-151

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