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《Blind Separation of Fault Sources Based on Variational Bayesian Independent Component Analysis》
FAN Tao;LI Zhi-nong;LU Ji-fu;YUAN Xian-feng
2010, 30 (1):
82-85.
DOI: 10.3969/j.issn.1006-1355.2010.01.082
A blind separation method of rotor’s fault sources based on variational Bayesian independent component analysis (VBICA) is proposed. This method can directly separate the signals of mechanical sources in noisy environment. In this method, the unknown noise need not to be regarded as an independent source, and the denoising preprocessing is not necessary either. Then, this method is compared with the traditional blind source separation method for machine faults. Finally, this method is applied for the fault sources separation of rotor system. Experiment results show that this method is very effective.
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