In order to improve the accuracy of wind power equipment fault diagnosis, the fault diagnosis system of wind power equipment based on Internet of things and fuzzy clustering is constructed. This paper, firstly, proposed the topological structure of wind power equipment fault diagnosis system, and introduced some key technologies involved; Then, the data analysis and fault diagnosis methods used in the system was presented, finally the applications of this system was given. Results show that the wind power equipment fault diagnosis system could monitor the operation of the wind power equipment, and accurately diagnosed the fault type of wind power equipment.