Abstract：It is of great guiding significance to identify the vibration sources of the hydropower station accurately and effectively for the long-term safe and stable operation of the hydropower station. Blind source separation (BSS) is an effective method for signal decomposition and vibration source identification. In order to realize blind source separation of vibration signals under complex environment of hydropower station, an improved blind source separation model based on WOA-VMD was described. Firstly, WOA-VMD and correlation method was used to de-noise the observed signals to ensure the accuracy of blind source separation results. Then, the covariance matrix of de-noised signals was solved and the number of sources was estimated with the dominant eigenvalue method. Finally, the signals were preprocessed by centralization and whitening, and then JADE method was used to solve the separation matrix to achieve blind source separation of vibration signals. The simulation results show that compared with the traditional BSS model, the correlation coefficient between the separation signal and the source signal is improved by 9.1%, 7.1% and 8.3% respectively, and the main frequency error of the separation signal is also reduced. The method was applied to the vibration engineering of hydropower station and better separation effect was achieved.
王海军1,2，郝志豪1,2，刘通3，胡航3，梁超1,2. 基于WOA-VMD改进的信号盲源分离研究及应用[J]. 振动与冲击, 2023, 42(9): 222-229.
WANG Haijun1,2, HAO Zhihao1,2, LIU Tong3, HU Hang3, LIANG Chao1,2. Studying and application of improved signal blind source separation based on WOA-VMD. JOURNAL OF VIBRATION AND SHOCK, 2023, 42(9): 222-229.
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