基于RBF网络的后桥齿轮残余寿命预测研究

为有效预测汽车后桥齿轮的残余寿命,针对后桥的非线性特性,提出了一种递归预处理与RBF网络相结合的齿轮残余寿命预测方法,并验证了该方法的可行性.利用该方法进行了汽车后桥齿轮残余寿命预测,结果表明,该方法对齿轮残余寿命的预测结果与齿轮疲劳试验结果吻合,预测精度高.

Study on Rear Axle Gear Residual Life Predication based on RBF Network

For the non-linearity property of rear axle,a new method,which consists of a recursive pretreatment and RBF neural networks,is presented in this paper to accurately predict residual life of rear axle gear.Simulation and experiment results have proved feasibility of this method.This method can be used to predict the residual life of rear axle gear,the results show that predication of gear residual life with this method is very accurate,and consistent with gear fatigue test results.