Vibration source separation algorithm for gear box based on time-frequency masking and vibration signal features
ZHANG Bo1, WANG Luo2, ZOU Zubing2, TENG Wei1, DENG Youhan2
1.Key Laboratory of Power Station Energy Transfer Conversion and System, Ministry of Education, North China Electric Power University, Beijing 102206, China;
2.China Three Gorges Corporation, Beijing 100038, China
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.
张博1，王罗2，邹祖冰2，滕伟1，邓友汉2. 基于时频掩蔽和振动特征的齿轮箱振源分离方法[J]. 振动与冲击, 2023, 42(15): 73-82.
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. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(15): 73-82.
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