Abstract: With the aim of deeply analyzing the influence of operation and maintenance environment on the degradation process of wind power system, improving system reliability as much as possible and reducing operation and maintenance costs, a dynamic preventive maintenance strategy for wind power system is proposed based on the residual life prediction theory considering the impact of operation and maintenance environment. This strategy divides the operation and maintenance environment of wind power system into three categories. By constructing the environmental state transition matrix, Wiener process is used to analyze the degradation process of wind power system in different operation and maintenance environments. On this basis, the detection time of wind power system is determined by maintenance thresholds and predicting the remaining life of units, and a dynamic preventive condition maintenance decision model is established. The results of example analysis validate the validity and feasibility of the model. The results of strategy comparison and sensitivity analysis further show that the strategy has obvious economic advantages in reducing the maintenance cost of wind power system, and confirm the existence of an impact of operation and maintenance environment on the maintenance decision of wind power systems. The maintenance decision modeling considering the impact of operation and maintenance environment can provide theoretical reference for wind power system. Maintenance decision modeling considering the environmental impact of operation and maintenance can provide theoretical reference for wind power system managers.