摘要
水轮机调速系统是水轮发电机组的关键控制系统。运用故障树与专家系统相结合的方法对调速系统可能发生的故障进行诊断,并基于历史数据,挖掘与故障相关的可能因素,对专家系统无法解决的故障进行分析,构建了基于数据驱动的水轮机调速系统健康状态预测系统。
The hydraulic turbine governing system is the key control system of the hydro-turbine generator unit. In this paper,the fault tree method and the expert system are combined to predict the potential faults of the governing system.Based on the historical data,a data-driven health status prediction system is developed for the hydraulic turbine governing system to detect the possible factors of the faults and analyze the unsolved faults.
作者
林秉良
蔡维由
蔡天富
周绮凤
陈启明
林茂
张强
LIN Bingliang CAI Weiyou CAI Tianfu ZHOU Qifeng CHEN Qiming LIN Mao ZHANG Qiang(Gutianxi Hydropower Plant, Huadian Fuxin Energy Co., Ltd., Gutian 352258, China School of Power and Mechanical Engineering, Wuhan University, Wuhan 430072, China School of Aerospace Engineering, Xiamen University, Xiamen 361005, China Wuhan Strong Automatic Control Technology Co. , Ltd. , Wuhan 430070, China)
出处
《水电与新能源》
2017年第10期51-55,共5页
Hydropower and New Energy
关键词
水轮机调速系统
健康状态预测
专家系统
故障树
数据挖掘
hydraulic turbine governing system
health status prediction
expert system
fault tree
data mining
