基于数据挖掘风力发电设备故障远程诊断研究  

Remote Diagnosis Research of Wind Power Generation Equipment Faults Based on Data Mining

作　　者：叶盛[1] 李龙[1] 胡旭馗[1] 

机构地区：[1]南车株洲电力机车研究所有限公司风电事业部,湖南株洲412001

出　　处：《风能》2013年第7期76-82,共7页Wind Energy

摘　　要：为保证维护风电场大型风电机组安全、可靠、经济和优化运行,本文提出了一个基于数据挖掘技术的风电机组在线状态监测与故障远程诊断系统。介绍了数据挖掘故障诊断系统的硬件、软件体系结构、网络技术及特点,举实例说明应用的实用性和有效性。In order to maintain the security, reliability, economy and optimal operation of the large-scale wind turbine, this paper proposed a condition monitoring and fault remote diagnostic system based on data mining technology. It also introduced the hardware of Data mining fault diagnosis system, so ware architecture, network technology and features practical examples . Meanwhile, it explained the practicality and e ectiveness of the application.

关 键 词：风电机组 数据挖掘 故障远程诊断研究 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论] TM315[自动化与计算机技术—计算机科学与技术]