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| Multi-source information separation of a hydroelectric generating set based on EEMD-SOBI |
| ZHI Baoping1,2,3,QIN Jingjing1,2,3,YANG Chunjing1,2,3,YU Yang3 |
1.Henan Engineering Research Center with Operation and Ecological Safety of Inter Basin Region Water Diversion Projects in inter Basin Areas, Kaifeng 475004, China;
2.Engineering Technology Research Center on the Structure Analysis and Evaluation for Soft Foundation of Kaifeng, Kaifeng 475004, China;
3.Yellow River Conservancy Technical Institute,Kaifeng 475004, China |
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Abstract According to the Complex vibration element of hydropower unit, EEMD-SOBI method, namely, Ensemble Empirical Mode Decomposition-Second order blind source separation, is proposed to identify multisource vibration signals. The vibration source components are recognized by the primary decorrelation of the observation signals, the whitening calculation of the second-order statistics of each signal, then the compute of the diagonalization matrix, and the optimal estimation of the vibration source. the results show that the observation signals are used to decompose and identify basically the source information with insensitivity to noise. The existing problems for directly application of SOBI are the frequency diffusion, the non-full rank of coefficient matrix, the decorrelation preprocessing of observation signals and so on. The above problems are well resolved recently, so SOBI can be exploited for vibration source analysis of hydropower unit vibration testing.
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Received: 29 June 2021
Published: 28 February 2023
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