Modeling and fault detection of wind turbine drive train with new neural network

In this paper we use new neural network for modeling and fault detection of KAHAK wind turbine. We use real data from KAHAK wind farm that installed in Qazvin province. Our new neural network is a neural network that we optimizing the cost function of that with genetic algorithm. We use MATLAB software for simulation and result of article shown in figures and tables.