齿轮箱具有传动比固定、传动转矩大、结构紧凑等

优点,是机械系统的重要部件。

-Gear Fault Diagnosis based on Evidence Theory

Xiong Wei　Cheng Jiatang　Xu Shaokun

(Engineering College, Honghe University, Mengzi 661100,China)

Abstract　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.