In order to improve the accuracy and efficiency of bearing fault diagnosis of wind turbine

envelope spectrum sweeping analysis method is proposed. By sweeping the envelope spectrum

this method transforms the vibration signal into sweeping spectrum. Then

it uses the morphological features of the fault signal in the envelope spectrum to filter the interference frequency. Finally

it highlights the periodic impulse attenuation signals representing the faults

to realize accurate and fast diagnosis of bearing fault of wind turbines. The actual diagnosis results show that

this method can accurately and rapidly diagnose the typical bearing faults of wind turbine. It is an effective complement to the conventional diagnostic methods

which is not only suitable for bearing fault diagnosis of wind turbine

but also can be used for rolling bearing fault diagnosis of other equipments.