摘要
研究了基于主元分析的故障诊断方法,在对某核电厂主冷却剂泵的故障诊断仿真实验中,建立了15个测量参数异常情况的故障特征方向库。通过对实测数据进行分析,证明此方法用于核电站的主冷却剂泵的故障诊断是可行的。
The fault diagnosis method based on principal component analysis was studied. The fault character direction storeroom of fifteen parameters abnormity was built in the simulation for the main coolant pump of nuclear power station. The measuring data were analyzed. The results show that it is feasible for the fault diagnosis system of main coolant pump in the nuclear power station.
出处
《原子能科学技术》
EI
CAS
CSCD
2003年第5期395-399,共5页
Atomic Energy Science and Technology
关键词
主元分析
核电站
主冷却剂泵
故障诊断
参数
安全
Coolants
Data processing
Monitoring
Principal component analysis
Pumps