Application of neural network expert system for fault diagnosis in motor
Chaoyu Liu · Electronic Design Engineering · 2014
A method of asynchronous motor fault diagnosis was established based on neural network expert system because the traditional expert system cannot be self learning and adaptive.The algorithm combined the wavelet neural network with expert system,and it give full play to the fault diagnosis of their advantages.It reduce the diagnostic error for motor greatly. The simulation results show the effectiveness of the algorithm.