基于物联网和模糊聚类的风力发电设备故障诊断系统及方法

为了提高风力发电设备故障诊断的准确性，构建了基于物联网和模糊聚类的风力发电设备的故障诊断系统。首先提出了风力发电设备故障诊断系统的拓扑结构，并介绍了其涉及的关键技术；然后给出了该系统的所采用的数据分析和故障诊断方法，并进行了应用实例分析。结果表明：该风力设备故障诊断系统可监控风力发电设备的运行状态，并能准确地诊断出风力发电设备的故障类型。

Fault diagnosis system and method of wind power equipment based on the Internet of things and fuzzy clustering

In order to improve the accuracy of wind power equipment fault diagnosis ,the fault diagnosis system of wind power equipment based on Internet of things and fuzzy clustering is constructed .This paper ,firstly ,proposed the topological structure of wind power equipment fault diagnosis system ,and introduced some key technologies involved ;Then ,the data analysis and fault diagnosis methods used in the system was presented ,finally the applications of this system was given .Results show that the wind power equipment fault diagnosis system could monitor the operation of the wind power equipment ,and accurately diagnosed the fault type of wind power equipment .