Title :
Research on CVT fault diagnosis system based on artificial neural network
Author :
Zhou, Meilan ; Zhang, Shige ; Wen, Jiabin ; Wang, Xudong
Author_Institution :
Coll. of Electr.&Electron. Eng., Harbin Univ. of Sci. & Technol., Harbin
Abstract :
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.
Keywords :
backpropagation; fault diagnosis; mechanical engineering computing; neural nets; power transmission (mechanical); variable speed gear; CVT fault diagnosis system; artificial neural network; backpropagation neural network; continuously variable transmission; self-adaptive learning rate algorithm; Artificial neural networks; Circuit faults; Computer interfaces; Fault diagnosis; Feedforward neural networks; Multi-layer neural network; Neural networks; Propulsion; Signal processing algorithms; Vehicles; Back-Propagation Neural Network; continuously variable transmission (CVT); fault diagnosis; momentum and self-adaptive learning rate algorithm;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2008. VPPC '08. IEEE
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-1848-0
Electronic_ISBN :
978-1-4244-1849-7
DOI :
10.1109/VPPC.2008.4677422
