Application for Diesel Engine in Fault Diagnose Based on Fuzzy Neural Network and Information Fusion
According to a variety ofdiesel engine malfunctions, a method for fault diagnoses ofdiesel engine based on neural net work and information fusion is put forward. The model has the characteristic of fast inference speed applying fuzzy membership functions to depict the fault extent. The model of fault diagnoses is set up by using the slate parameter ofdiesel engine as learning samples. The data from diesel engine state is identified are sample. It is verified the validity of the model of fuzzy neural network after experiments. The results show that it has a great improvement in convenient operation and facilitates to use. This method for diagnosis faults ofdiesel engine has more accurately. It can improve the veracity for diagnose the fault It can also develop the optimal control ofdiesel engine.
diesel engine fault diagnosis fuzzy neural networ k information fusion
LIANG Guihang WANG Jian WANG Qiang SONG Jingui
school of traffic ludong university Yantai, China Shanghai General Motors GM for Genera Motor Yantai, China
国际会议
西安
英文
102-105
2011-05-13（万方平台首次上网日期，不代表论文的发表时间）