Fault Diagnosis of Wind Turbine's Converter Based on Memristive Neural Network
Yun Liang Wang, Xun Wang · Applied Mechanics and Materials · 2014
In this paper, a memristive neural network was applied to fault diagnosis of wind turbine's converter. A model of memristive neural network was built in order to diagnose and analyze of the failure information by MATLAB Simulink. Experimental results show that the proposed method can achieve better results and has certain significance for the application of memristors widely used in the near future.