摘要
对核电厂反应堆冷却剂系统在线监测与预警技术进行研究。在分析反应堆冷却剂系统组成特点及故障特点的基础上,采用多变量状态估计(MSET)和序贯概率比(SPRT)技术,对系统的变量进行估计预测和异常判断。一旦发现异常,即可触发故障诊断单元或给出预警。验证表明,通过MSET和SPRT技术结合的方法,可以较好地完成对变工况下的反应堆冷却剂系统异常监测任务。
The on-line monitoring and forecasting techniques for the nuclear power plant reactor coolant system are studied. Based on the analysis of the characteristics of the reactor coolant system components and fault characteristics, multi-state variable estimation techniques （MSET） and sequential probability ratio technology（SPRT） was used to estimate and predict the system and to determine whether the system is abnormal. The anomaly can trigger a fault diagnosis unit or give warning. Test results show that MSET and SPRT combined technology make a good performance in the abnormal condition monitorin~ tasks.
出处
《核动力工程》
EI
CAS
CSCD
北大核心
2015年第3期57-61,共5页
Nuclear Power Engineering
