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Research on CVT fault diagnosis system based on artificial neural network

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4 Author(s)
Meilan Zhou ; Coll. of Electr.&Electron. Eng., Harbin Univ. of Sci. & Technol., Harbin ; Shige Zhang ; Jiabin Wen ; Xudong Wang

To accomplish the demand of continuously variable transmission (CVT) fault diagnosis, the structure of CVT fault diagnosis system is built and the application model of Back-Propagation Neural Network is established aiming at the features of CVT faults. The structure and 3 algorithms of network are devised. The network proposed is simulated and the results are analyzed in detail. The simulation results indicate that the fault diagnosis system based on Back-Propagation neural network with momentum and self-adaptive learning rate algorithm is effective.

Published in:

Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE

Date of Conference:

3-5 Sept. 2008

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