基于T-S模糊神经网络的汽车故障诊断的研究

The Vehicle Fault Diagnosis Research Based on T-S Model Fuzzy Neural Network

该文根据模糊神经网络的特性结合汽车故障诊断的技术,根据监控排放标准,采用个人手持式故障诊断仪获取数据流,T-S模糊逻辑与神经网络结合,训练模糊神经网络,进行故障诊断。使用误差反馈算法和模糊理论训练神经网络,根据训练完成的T-S模型对汽车防抱死系统故障进行诊断。体现了其诊断的准确性强和适用性广的特性。

This paper is based on fuzzy neural network and fault diagnosis of automobile technology,according to the standard of OBDII,using personal handheld fault diagnosis instrument（PHFDI） to get the data flow,combining T-S fuzzy logic and neural networks,to train fuzzy neural networks,to achieve the fault diagnosis.Using the BP algorithm and fuzzy theory trains the neural network.Then T-S model neural network which be training completed diagnose the ABS of vehicle.It not only improves the accuracy of diagnosis,but also expands the scope of diagnosis.