Application of the Improved Genetic Algorithm and BP Network in Rotating Machinery Fault Diagnosis
改进的遗传BP网络在旋转机械故障诊断中的应用

According to the complexity and relativity,the diagnosis by improved genetic algorithm and BP algorithm is proposed in this paper.First,use the genetic algorithm to optimize the initial weights and bias values,then improve the BP algorithm by changing the learning rate.This method can well solve the convergence rate and local minimum trouble of the tradition BP algorithm.With the training of samples and analysis of fault diagnosis,it is found there are many advancements in rate and accuracy.