Fault Diagnosis of Wind Turbine's Converter Based on Neural Network
Xiangyang You · Journal of Sanmenxia Polytechnic · 2012
In this paper a fault diagnosis system of wind turbine's converter is studied by using the self-organizing feature map neural network.The fault sets,fault symptoms and fault feature data are summarized.In order to allocate position and make sure the fault type,experiments for SOM network training and simulation are carried out by neural network toolbox of MATLAB.Experimental result indicates that the proposed method can effectively diagnose the fault of frequency converter in wind power system and has a certain value in engineering application.