Abstract: Following the basic principles of source prevention, process control, dynamic warning, and closed-loop management, a health status management system for wind turbine units throughout their entire life cycle based on intelligent control was designed. Monitoring data of various components of the wind turbine units were obtained from SCADA, and the health status assessment index system and fuzzy comprehensive evaluation algorithm were utilized to quantitatively assess and accurately predict the operating status of the wind turbine units. The entire process and all dimensions of the health status of the units were managed, minimizing operation and maintenance costs, extending the unit lifespan, and enhancing power generation efficiency. Application results show that this system can accurately assess the current health status of the wind turbine units, with an accuracy rate of up to 96.7%; the accuracy rate of unit fault diagnosis is 91.7%, meeting the diagnostic requirements.