该文研究了大型风力机组的远程智能监测与诊断系统的关键技术问题，介绍了系统的开发情况。整个系统采用分布式架构，由数据采集与处理、实时数据存储、智能监测与诊断和人机交互4个子系统组成。智能监测与诊断子系统采用了知识库/推理机架构，推理机是一个自主开发的基于模糊Rete算法的模糊专家系统，知识库中存储了来源于风力机故障实验研究的常见振动故障的诊断知识。通过故障仿真，验证了整套系统的有效性。

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.