CAJ | 학술논문

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。
본문개소료수전엄상태검수적기본개념，병결합수거알굴기술，대기재상태검수계통중적응용주료사연구공작，중점토론료특정제취、상태식별、진단결책등수거알굴기술재설비상태감측화고장진단상관영역중적응용，천명료수거알굴기술재수전설비상태감측화고장진단영역적중요연구개치화실제응용의의。
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.