Vibration source separation algorithm for gear box based on time-frequency masking and vibration signal features

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Journal of Vibration and Shock ›› 2023, Vol. 42 ›› Issue (15) : 73-82.

ZHANG Bo1, WANG Luo2, ZOU Zubing2, TENG Wei1, DENG Youhan2

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Abstract

A vibration source separation algorithm based on time-frequency domain masking and gear vibration signal characteristics is proposed for the problem of multi-source mixing in gearbox observation signals, which can separate individual vibration source information from the multi-source mixed data. The main steps of the algorithm are as follows: firstly, the time domain signal is converted into time-frequency spectrum for analysis by short-time Fourier transform, the gear mesh frequency characteristics are obtained by optimal ratio masking, secondly, all the frequency components in the mixed signal are obtained by peak-seeking algorithm, the fault characteristics are further separated by combining with the fault frequency domain characteristics, the gear modulation components are obtained by ideal ratio masking, and finally the source signal is recovered by inverse short-time Fourier transform. The algorithm is validated by wind power transmission platform and actual wind power field vibration signals, and the results show that the proposed algorithm can effectively extract the main components of the source signal for a known gear speed.

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vibration source separation / gear fault characteristics / time-frequency domain masking

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ZHANG Bo1, WANG Luo2, ZOU Zubing2, TENG Wei1, DENG Youhan2. Vibration source separation algorithm for gear box based on time-frequency masking and vibration signal features[J]. Journal of Vibration and Shock, 2023, 42(15): 73-82

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