Author(s): Huifang Kong | Guoqing Ren | Jizhu He | Benxian Xiao
Journal: Journal of Software
ISSN 1796-217X
Volume: 6;
Issue: 2;
Start page: 209;
Date: 2011;
Original page
Keywords: fuzzy logic | neural network technique | automatic transmission (AT) | fault diagnosis
ABSTRACT
According to the design procedure of fault self-diagnosis system and features of automatic transmission system, the list of relation and mapping between fault symptoms and fault causes are made in this paper. Applying the approach of fault self-diagnosis based on fuzzy neural network, fault diagnosis of the automatic transmission electronic control system is realized. The structure of fuzzy neural network and its corresponding learning method and pretreating strategy about the training samples are introduced in this paper. Using MATLAB as simulation platform, this fault diagnosis method is simulated with neural networks toolbox. The simulation results show that this fault diagnosis approach is effective and applied.
Journal: Journal of Software
ISSN 1796-217X
Volume: 6;
Issue: 2;
Start page: 209;
Date: 2011;
Original page
Keywords: fuzzy logic | neural network technique | automatic transmission (AT) | fault diagnosis
ABSTRACT
According to the design procedure of fault self-diagnosis system and features of automatic transmission system, the list of relation and mapping between fault symptoms and fault causes are made in this paper. Applying the approach of fault self-diagnosis based on fuzzy neural network, fault diagnosis of the automatic transmission electronic control system is realized. The structure of fuzzy neural network and its corresponding learning method and pretreating strategy about the training samples are introduced in this paper. Using MATLAB as simulation platform, this fault diagnosis method is simulated with neural networks toolbox. The simulation results show that this fault diagnosis approach is effective and applied.
