doi: 10.4304/jsw.6.2.209-216
The Application of Fuzzy Neural Network in Fault Self-diagnosis System of Automatic Transmission
- 1 School of Electrical Engineering and Automation, Hefei University of Technology, Hefei, China
- 2 Anhui Jianghuai Automotive Co., Ltd., Hefei, China
Abstract
According to the design procedure of fault selfdiagnosis 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.
Keywords
- fuzzy logic
- neural network technique
- a
How to Cite
Kong Huifang, Ren Guoqing, He Jizhu, and Xiao Benxian, "The Application of Fuzzy Neural Network in Fault Self-diagnosis System of Automatic Transmission," Journal of Software, vol. 6, no. 2, pp. 209-216, 2011. https://doi.org/ 10.4304/jsw.6.2.209-216
Copyright & License
Copyright © 2011 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).