Title :
Fault self-diagnosis system of automatic transmission based on fuzzy BP network
Author_Institution :
Econ. & Manage. Coll., Neijiang Normal Univ., Neijiang, China
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.
Keywords :
backpropagation; fault diagnosis; fuzzy neural nets; mechanical engineering computing; power transmission (mechanical); MATLAB; automatic transmission electronic control system; fault causes; fault self-diagnosis system; fault symptoms; fuzzy BP network; fuzzy neural network; learning method; Artificial neural networks; Automatic control; Control systems; Data mining; Fault diagnosis; Fuzzy control; Fuzzy logic; Fuzzy neural networks; Fuzzy systems; Neural networks; automatic transmission (AT); fault diagnosis; fuzzy logic; neural network technique;
Conference_Titel :
Networking and Digital Society (ICNDS), 2010 2nd International Conference on
Conference_Location :
Wenzhou
Print_ISBN :
978-1-4244-5162-3
DOI :
10.1109/ICNDS.2010.5479333