Performance evaluation of an advanced integral reactor against an anticipated transient without scram

Yang, Soo Hyung; Chung, Yong-Sam; Kim, Hee Cheol; Zee, Sung Quun

doi:10.1016/j.anucene.2006.03.003

Cited by 6 publications

(1 citation statement)

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“…ATWS is an accident that can happen in a NPP. In this accident, the scram system, which is designed to shut down the reactor during an abnormal event (anticipated transient), fails to work [43]. An ET has been developed for PRA of the ATWS for a NPP in China [2], as shown in Figure 11.…”

Section: System Descriptionmentioning

confidence: 99%

A framework for dynamic risk assessment with condition monitoring data and inspection data

Xing

Zeng

Zio

2019

Reliability Engineering & System Safety

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In this paper, a framework is proposed for integrating condition monitoring and inspection data in Dynamic Risk Assessment (DRA). Condition monitoring data are online-collected by sensors and indirectly relate to component degradation; inspection data are recorded in physical inspections that directly measure the component degradation. A Hidden Markov Gaussian Mixture Model (HM-GMM) is developed for modeling the condition monitoring data and a Bayesian network (BN) is developed to integrate the two data sources for DRA. Risk updating and prediction are exemplified on an Event Tree (ET) risk assessment model. A numerical case study and a real-world application on a Nuclear Power Plant (NPP) are performed to demonstrate the application of the proposed framework.

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Section: System Descriptionmentioning

confidence: 99%