1. Demonstration of the validity of the early warning in online monitoring system for nuclear power plants
- Author
-
Chi-Yong Park, Dae-Woong Kim, and Ji Ho Min
- Subjects
Nuclear and High Energy Physics ,Warning system ,Computer science ,business.industry ,020209 energy ,Mechanical Engineering ,media_common.quotation_subject ,Monitoring system ,02 engineering and technology ,Nuclear power ,01 natural sciences ,010305 fluids & plasmas ,Reliability engineering ,Nuclear Energy and Engineering ,0103 physical sciences ,Pattern recognition (psychology) ,0202 electrical engineering, electronic engineering, information engineering ,Early warning system ,General Materials Science ,Safety, Risk, Reliability and Quality ,Function (engineering) ,business ,Waste Management and Disposal ,media_common - Abstract
This paper presents the validity and usefulness of early warning in online monitoring system for nuclear power plants. Early warning is one of the core functions of the online monitoring system, which uses pattern recognition to predict and alert potential problems in the equipment or system. This function was developed by using the AAKR technique and has been operated since 2016. We show that the early warning system is operating properly through an analysis of the operation result of the system, and present three cases that represent the functions and roles of the system. In the first two cases, the system detected a failure of equipment and measuring instrument, respectively. In the third case, the system went through pattern re-learning to overcome environmental changes.
- Published
- 2019