Application of fuzzy neural network in fault self-diagnosis for electronic control system of automatic transmission
HE Ji-zhu · Journal of Hefei University of Technology · 2010
This paper firstly introduces the approaches to the design of fault self-diagnosis. Then a list of fault symptom and fault cause is made in allusion to the characteristics of electronic control system of automatic transmission,and the approach of fault self-diagnosis based on fuzzy neural network is applied to realize the fuzzy diagnosis of faults in the mentioned system. The structure of the fuzzy neural network and corresponding learning methods are introduced as well as the ways to pretreat the training samples. Finally,this diagnosis approach is simulated and tested by Matlab's Neural Networks Toolbox to demonstrate its validity and practicability.