This paper researched the key technology of remote intelligent condition monitoring and diagnostic system for wind turbines, and described the development details of a system. The system, adopted the distributed architecture, consisted of four subsystems, which were the data acquisition subsystem, the real time data storage subsystem, the intelligent monitoring and diagnosis subsystem and the user interface subsystem. The intelligent monitoring and diagnosis subsystem used the knowledge base/inference engine structure. An advanced fuzzy expert system is developed for inference engine, and the vibration fault diagnosis rules for wind turbine is stored in the knowledge base. The effectiveness of the system is verified by diagnosing simulated wind turbine faults.