THE INTELLIGENT SYSTEM DESIGN OF REMOTE FAULT DIAGNOSIS OF REDUCER BASED ON GA AND NN

摘要

In this paper, reducer failure was analyzed and by use of BP neural network, model of failure diagnosis was established. Using genetic algorithms, the value of neural networks, the threshold, and the network structure were optimized. Genetic neural network model was applied to the system design of remote reducer fault diagnosis. To compare training error curve of BP neural network with genetic neural network, it was shown that genetic neural network in the training of speed and accuracy higher than the neural network training model.