Blind separation of the mechanical fault sources based on variational bayesian theory
Zhi Nong Li · Zhendong yu chongji · 2009
Considering the deficiency of the traditional blind seperation methods under the condition of unknown noises, a new separation method for machine fault sources based on variational Bayesian independent component analysis was proposed. Compared with the traditional method, the proposed method has such unique characteristics: it is unnecessary to regard the unknown noise as an independent source, the denoising preprocessing can be cancelled, and the mechanical sources under the noisy environment can be directly separated. The simulation results show that the proposed method is superior to the traditional method, with the separation error greatly reduced. The experiment results also verify the validity of the proposed method.