In view of the wind power equipment running in the condition of various speed and unstable loads

and cannot be monitored and diagnosed effectively with merely one signal processing method

the methods of wind turbines fault diagnosis based on vibration analysis and hybridize several commonly used signal processing methods are proposed. According to the structural parameters and operating features of wind turbines

faults mechanism and types of wind turbines are analyzed. Then extract the fault characteristic frequency hidden in the vibration signal using the time-domain

frequency-domain and envelope spectrum methods. Finally

the result of dissembling the wind turbine validates effectiveness of the proposed method.