Multi-source information separation of a hydroelectric generating set based on EEMD-SOBI

被引：0
|
作者：
Zhi B. [1 ,2 ,3 ]
Qin J. [1 ,2 ,3 ]
Yang C. [1 ,2 ,3 ]
Yu Y. [3 ]
机构：
[1] Henan Engineering Research Center with Operation and Ecological Safety of Inter Basin Region Water Diversion Projects in Inter Basin Areas, Kaifeng
[2] Engineering Technology Research Center on Structure Analysis and Evaluation for Soft Foundation of Kaifeng, Kaifeng
[3] Yellow River Conservancy Technical Institute, Kaifeng
来源：
Zhendong yu Chongji/Journal of Vibration and Shock | 2023年 / 42卷 / 04期
关键词：
ensenihle empirical mode decomposition second order blind source separation ( EEMD SOB I ); liydroelectric unit; multi-source signal; vibration source identification;
D O I：
10.13465/j.cnki.jvs.2023.04.027
中图分类号：
学科分类号：
摘要：
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. © 2023 Chinese Vibration Engineering Society. All rights reserved.
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页码：229 / 235+294
相关论文
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