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Living PSA modeling and updating for online risk monitoring ZHANG Min1, ZHANG Zhijian2, CHEN Sijuan3, and ZHANG Huazhi4 1. College of Nuclear Science and Technology, Harbin Engineering University, 150001, Harbin, Heilongjiang, China (zhangmin@hrbeu.edu.cn)
2. College of Nuclear Science and Technology, Harbin Engineering University, 150001, Harbin, Heilongjiang, China (zhangzhijian@hrbeu.edu.cn)
3. College of Nuclear Science and Technology, Harbin Engineering University, 150001, Harbin, Heilongjiang, China (chensijuan@hotmail.com)
4. College of Nuclear Science and Technology, Harbin Engineering University, 150001, Harbin, Heilongjiang, China (zhanghz05@163.com)
Abstract: An overview of the preliminary research is provided on the methodology for modeling and updating PSA models for online risk monitoring. In order to model the dynamic characteristics of nuclear power plant and to update the models automatically as soon as there are any changes of plant configuration or reliability data during the on-line risk monitoring of Nuclear Power Plants (NPPs). The demands of modeling and updating for three kinds of failure in PSA models which include independent failure, common cause failure and sequence-dependent failure are firstly clarified, and then a systematic method is suggested to implement the modeling and updating based on Living PSA methodology. Finally, a conceptual design is proposed of the program module division and data exchange of the Living PSA module of an On-Line Risk Monitor (OLRM). By using the modeling and updating methods proposed in this article, any detectable status changes of systems and components can be reflected automatically in an OLRM so that the reliability of time-dependent components can be considered. This means the influence of operation history on component reliability can be evaluated which is helpful for making the optimization of the maintenance plan.
Keyword: living PSA; modeling and updating; on-line risk monitoring |
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