一种改进的数据挖掘算法在水电厂状态检修系统中的应用  

作　　者：李冰[1] 常禹[1] 郭壁垒[1] 麻志成[1] 

机构地区：[1]南瑞集团公司/国网电力科学研究院,江苏省南京市210003

出　　处：《水电厂自动化》2014年第4期38-41,48,共5页Hydropower Plant Automation

摘　　要：本文介绍了水电厂状态检修的基本概念,并结合数据挖掘技术,对其在状态检修系统中的应用做了些研究工作,重点讨论了特征提取、状态识别、诊断决策等数据挖掘技术在设备状态监测和故障诊断相关领域中的应用,阐明了数据挖掘技术在水电设备状态监测和故障诊断领域的重要研究价值和实际应用意义。This paper introduces the basic concept of hydropower plant condition-based maintenance.And combining with the data mining technology,here we do some research work of application in condition-based maintenancesystem.It focuses on the application of data mining technology including feature extraction,state identification,diagnosis and decision inequipment condi-tion monitoring and fault diagnosis in related areas.It is so important to clarify the data mining technology inhydropower equip-ment condition monitoring and fault diagnosis field,and also practical applicationsignificance.

关 键 词：状态检修 数据挖掘 故障诊断 K-MEANS 

分 类 号：TP311.13[自动化与计算机技术—计算机软件与理论]