doi: 10.4304/jsw.6.2.209-216
The Application of Fuzzy Neural Network in Fault Self-diagnosis System of Automatic Transmission
2Anhui 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.
Index Terms—fuzzy logic, neural network technique, automatic transmission (AT), fault diagnosis
Cite: Kong Huifang, Ren Guoqing, He Jizhu, 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.
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ISSN: 1796-217X (Online)
Abbreviated Title: J. Softw.
Frequency: Quarterly
APC: 500USD
DOI: 10.17706/JSW
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Cecilia Xie
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