Research On Anomaly Monitoring And Prediction Technology Of Nuclear Reactor Coolant System

Nuclear Power Plant operation support system can increase the nuclear power plant safety,reliability and economy.The nuclear status of the online monitoring and prediction technology is the basis for nuclear power plant operation support system.Therefore,advanced nuclear power technology for online monitoring and prediction research has important theoretical meaning and practical significance.The main work of this paper is to nuclear reactor coolant system for online moni-toring and prediction technology.In the detailed analysis of the characteristics of reactor coolant system components and fault characteristics,based on a multi-state variable esti-mation techniques(MSET)and sequential probability ratio(SPRT)technique to estimate the system variables predicted and abnormal judgments.Once abnormal cells can trigger a diagnosis or give warning.MSET technology allows for variable operating modes of abnormal monitoring possible.The SPRT is a fine alternative to limit test methods,it can also reduce the false positive rate and false monitoring rate.In this paper,this method was verified by computer.Test results show MSET SPRT combinded technology make a good performance on the abnormal condition mon-itoring tasks.