Fault identification of wind turbine transmission system based on root mean square and Zoom-FFT

摘要

This paper proposed a method based on root mean square and Zoom-FFT (detailed fast Fourier transform) to detect the operation state of the transmission system of wind turbine, which can extract the characteristic information and complete the fault identification. Firstly, the root mean square of the vibration signal was gotten to detect wind turbine failure, and then the method of Zoom-FFT was adopted to determine the fault type. It can also distinguish when and where the failure happened. Simulation and field experiment results validated the effectiveness of the proposed method.