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Fault diagnosis of wind turbine power electronic equipment based on SOM neural network

It has great significance for reducing the operation failure rate and operation maintenance cost of wind turbine through monitoring possible fault power electronic devices and identifying the faults of power electronic devices. The paper applies self-organizing feature map neural network (SOM) to the fault diagnosis of wind turbine power electronic equipment and verifies its engineering application effect. The experimental results show that the method has great effect in fault diagnosis of wind turbine power electronic equipment, and it has some engineering value.