The fault vibration signal analysis of wind turbine gearbox based on wavelet transform

In wind turbine gearbox fault diagnosis, the signals from sensors are non-stationary vibration signals; on the impact of the wind turbine work environment, the vibration signal contains a lot of noise; The traditional signal processing methods cannot extract the fault characteristics fast and effectively from the vibration signals; this paper uses wavelet threshold value denoising method to analyze the wind turbine vibration signals and proves feasibility and practicability of the method through a example.