At present

the fault diagnosis of wind turbines relies heavily on diagnostic analysts. For large-scale wind turbine groups

it is difficult to ensure the accuracy and efficiency of diagnosis by relying solely on manual analysis.In order to solve this problem

the automatic diagnosis method of typical faults of wind turbine bearing based on sweep frequency analysis technology is applied in the large-scale fault diagnosis of wind turbine group

the conditions for implementing the large-scale application are analyzed

the actual application results in Huaneng renewable energy smart operation and maintenance system are introduced

and the development of smart diagnosis technology is prospected in combination with the actual needs of maintenance personnel. The automatic diagnosis method has achieved preliminary results in application

which reduces the dependence on manual diagnosis to a certain extent

and provides effective technical means and valuable practical experience for large-scale fault diagnosis of wind turbine groups.