Description: For the reason of low-reliability exists in the gear fault diagnosis of traditional methods, a method
based on evidence theory hybrid diagnosis algorithm is presented. According to the fault feature vectors, two parallel
BP neural networks are used to carry on local fault diagnosis to acquire the independent evidences each other. Then
evidence theory is employed to fuse evidences, and gear fault diagnosis is fulfilled finally. Example shows that, vari-
ous faults redundant and complement information can be sufficiently used and the reliability of diagnosis is effectively
improved.
To Search:
File list (Check if you may need any files):
基于小波分析的齿轮故障诊断方法的研究.caj
Download