The extraction and application of fault characteristic vector for lower vacuum of condenser in 1000MW unit
In this paper the failure sets and symptom sets of the problem for a 1000MW unit were determined.On the basis of distinguishing the precipitous decline and slow decline of vacuum,the calculation model of the state quantization value of every symptom parameter was established and the fault characteristic vector of the lower vacuum of the condenser was obtained by the simulation test of the unit.Based on BP neural network,the fault diagnosis model of condenser was established,and the low vacuum fault of the unit was diagnosed.The results show that the fault diagnosis of condensers can be used in the actual unit operation according to the fault theory domain feature vector of 1000MW unit.
CHEN Wen YAN Tao CAI Wen Yang Hong-yan WAN Zhong-hai
State Grid JiangXi Electric Power Research Institute,Nanchang 330096,Jiangxi Province,China Shanghai Pengken Energy Technology Co.LTD,Shanghai 200090,China
国际会议
广州
英文
1-5
2018-05-11（万方平台首次上网日期，不代表论文的发表时间）