Motor Rotor Fault Diagnosis Method Based on Belief Rule Base Inference
Zhenghui Li, Wei Yu, Feiya Lv · 2021
This paper presents a belief rule base (BRB) method for diagnosing motor rotor fault. The BRB is used to model the complex non-linear relationship between the abnormal vibration features of motor rotor and its fault type. Firstly, a belief rule base inference model is constructed based on the variation of vibration amplitude of multi-frequency components caused by motor rotor fault. The input of the model is 1X∼3X frequency domain amplitude change and time domain vibration displacement amplitude change, and the output of the model is the type of motor rotor fault. The belief rules activated by the inputs are combined by the evidential reasoning (ER) algorithm so as to obtain the fused belief structure about the fault, and then, the accurate diagnose result can be calculated from the fused result. The diagnosis results can not only judge the fault type, but also give the probability of potential fault. The model parameters are open and interpretable. Finally, in the experiment of fault diagnosis of motor rotor, the effectiveness of the proposed method is illustrated.