Abstract: To improve the real-time diagnostic accuracy of wind turbine blades (hereinafter referred to as wind turbine blades) and reduce the false alarm and false alarm rates in diagnosis, based on the blade vibration signal, the probability and amount of characteristic changes after wind turbine blade failure are statistically analyzed, and the obvious characteristics of changes after wind turbine blade damage are summarized. To eliminate the absolute judgment of single features on diagnostic results and reduce the influence of inconspicuous changes in features, a multi feature fusion calculation method is proposed to perform real-time fault diagnosis of wind turbine blades based on fused features. The research results and applications indicate that the use of multi-feature fusion calculation method can effectively reflect faults such as blade tip cracking and blade cracks, and has reference value for real-time fault diagnosis of wind turbine blades.