Failure Prediction of Wind Turbine using Neural Network and Operation Signal

This paper deals with a novel prediction method for wind turbine by using neural network and operating data. As transfer energy to electrical power energy, its structure has rotation part that capture mechanical part, convert from energy. Its working environmental situation is so bad like high mountain, sand desert, offshore good situation. Therefore, control monitoring should have reliability long terms during operation because maintenance repairing very difficult economically cost. system composed of three parts, there are many components be monitored failure. suggests data-based can predict components' failure through data comparison network's training function easy expression 'Yes' or 'No' operator.