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System Safety Analysis Method Based on Real-Time Online Risk Monitoring Technology

[+] Author Affiliations
Sijuan Chen, Zhijian Zhang, He Wang, Min Zhang, Huazhi Zhang, Anqi Xu, Yingfei Ma, Gangyang Zheng

Harbin Engineering University, Harbin, China

Paper No. ICONE26-82563, pp. V002T14A024; 9 pages
doi:10.1115/ICONE26-82563
From:
  • 2018 26th International Conference on Nuclear Engineering
  • Volume 2: Plant Systems, Structures, Components, and Materials; Risk Assessments and Management
  • London, England, July 22–26, 2018
  • Conference Sponsors: Nuclear Engineering Division
  • ISBN: 978-0-7918-5144-9
  • Copyright © 2018 by ASME

abstract

In the continuous operation process of Nuclear Power Plant (NPP), its configuration is full of variety over time because of the system’s dynamic characteristics. There is a great need to update the risk/safety analysis models when it becomes necessary to reflect those dynamic characteristics of the system/component. Most of the current methods for risk/safety analysis belong to the scope of safety pre-analyzing, which analyzes the system risk/safety before system being in service. The main purpose of these safety pre-analyzing is to guide system design and optimization, but the real-time operational risk/safety analysis of NPPs is considered little. In order to know well the real-time risk/safety for system, a System Safety Analysis Method based on Real-time Online Risk Monitoring Technology is proposed. The safety risk model is established based on the modular fault tree that is used to represent logic structure of system. The real-time risk/safety is monitored according to the correspondence monitoring signal or data of component/system. Simultaneously the method can account for the change of risks based on the established mapping relationship between the state transition rules and corresponding risk/safety model updating rules. Finally, a case monitoring the safety for the system of two redundant pumps was used to demonstrate the effectiveness of the method.

Copyright © 2018 by ASME

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