Wind Turbine is located in a bad environment, so in the operation of wind turbine blade, gearbox, generator, converter and transmission system and other major components prone to failure, resulting in unit downtime. The operation efficiency and power output of the equipment are seriously affected. There are two ways to improve the operation reliability of wind turbine: one is to improve the quality of wind turbine, the second is to adopt an effective system fault diagnosis method. During the operation of wind turbine, the main components such as blades, gearbox transmission system, generator and converter are prone to failure, resulting in the shutdown of the electric generator. In order to reduce the occurrence of faults, this paper designs a fault diagnosis method for wind turbine generator.In this paper, the fault diagnosis of wind turbine generator is carried out, which combines sensor detection technology, embedded technology, internet of things communication technology, signal processing technology and computer control technology, a fault diagnosis system for wind turbine generator based on wavelet transform is designed. This design completes the wind turbine generator fault diagnosis system design.n this paper, the design of Fault Diagnosis System for wind turbine generator is completed. The advantage of the system is that when the motor failure occurs, it can be found in time and reduce the loss. The disadvantage is that the design is based on the theoretical level of design, real implementation may also face many problems.