摘要
基于大数据挖掘分析的枕头坝一级水电站机组状态诊断预警系统,是在已有的各种监测系统的基础上,进行扩展开发,数据挖掘,实现了设备健康状态评价和故障预警与诊断,为电力生产提供了更为实用有效的决策依据。
A state diagnosis and early warning system for hydro-turbine generator units is developed and adopted in Zhentouba I Hydropower Station. On the basis of the existing monitoring systems and the big data mining technique, the device health state evaluation and fault warning and diagnosis functions are realized. The system could provide more effective and practical decision-making basis for the power generation.
出处
《水电与新能源》
2018年第2期50-53,共4页
Hydropower and New Energy
关键词
大数据挖掘
状态诊断预警
应用
big data mining, state diagnosis and early warning
application
