论文部分内容阅读
随着水电厂在线监测系统的广泛应用,系统在生产过程中采集了大量的数据,如何发现蕴含在这些数据中的有用信息,以提高水电机组运行的稳定性,成为近年来水电厂研讨的主要课题。本文提出了基于数据挖掘技术的故障诊断方法,分析工况、分析信号量与机组故障之间的关系,进而实现状态检修。
With the extensive application of hydropower plant on-line monitoring system, the system collected a large amount of data in the process of production. How to find out the useful information contained in these data to improve the stability of hydropower unit operation has become the main study of hydropower plant in recent years Question. This paper presents a fault diagnosis method based on data mining technology, analyzes the working conditions, analyzes the relationship between the semaphore and the unit fault, and then achieves the status maintenance.