An Overview of Risk Quantification Issues for Digitalized Nuclear Power Plants Using a Static Fault Tree

Kang, Hyun Gook; Kim, Man Cheol; Lee, Seung Jun; Lee, Ho Jung; Eom, Heung Seop; Choi, Jong Gyun; Jang, Seung-Cheol

doi:10.5516/net.2009.41.6.849

Cited by 22 publications

(7 citation statements)

References 1 publication

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“…A potential computational benefit of the irrationality initiator approach is breaking potential loop‐backs in the analysis of failure events. Loop‐backs are a significant challenge in SoS that have a high number of interconnections, and in systems with a large number of connections between functions . Transforming irrational failure flows exiting a system into irrationality initiators entering an SoI helps to isolate the flows as a source of loop‐backs in the analysis.…”

Section: Discussion and Future Workmentioning

confidence: 99%

A method of identifying and analyzing irrational system behavior in a system of systems

Bossuyt

O’Halloran

Arlitt

2019

Systems Engineering

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System of interest (SoI) failures can sometimes be traced to an unexpected behavior occurring within another system that is a member of the system of systems (SoS) with the SoI. This article presents a method for use when designing an SoI that helps to analyze an SoS for unexpected behaviors from existing SoS members during the SoI's conceptual functional modeling phase of system architecture. The concept of irrationality initiators—unanticipated or unexpected failure flows emitted from one system that adversely impact an SoI, which appear to be impossible or irrational to engineers developing the new system—is introduced and implemented in a quantitative risk analysis method. The method is implemented in the failure flow identification and propagation framework to yield a probability distribution of failure paths through an SoI in the SoS. An example of a network of autonomous vehicles operating in a partially denied environment is presented to demonstrate the method. The method presented in this paper allows practitioners to more easily identify potential failure paths and prioritize fixing vulnerabilities in an SoI during functional modeling when significant changes can still be made with minimal impact to cost and schedule.

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Section: Discussion and Future Workmentioning

confidence: 99%

A method of identifying and analyzing irrational system behavior in a system of systems

Bossuyt

O’Halloran

Arlitt

2019

Systems Engineering

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“…These methods can be divided into two types: counterintuitive and intuitive methods. Among the counterintuitive methods, the fault tree is most widely used in the aerospace, nuclear power, chemical and process, and other high‐hazard industries because of its applicability to complex mechanical systems and various support tools. However, constructing a fault tree of a complex mechanical system requires considerable attention to correctly represent a system, which is a cumbersome task for experts.…”

Section: Introductionmentioning

confidence: 99%

A novel framework for the reliability modelling of repairable multistate complex mechanical systems considering propagation relationships

Gao

Wang

Gao

et al. 2018

Quality & Reliability Eng

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Due to the propagation, amplification, and concatenation in a failure process, the reliabilities of repairable multistate complex mechanical systems (RMCMSs) may be affected by a significant fluctuation due to a small exception associated with a reliability indicator. Focused on the problems arising from the lack of propagation relationships among fault modes, functional components, and failure causes in conventional reliability models, a novel framework for reliability modelling is proposed to comprehensively analyse the reliabilities of RMCMSs. First, the reliability models are abstracted as weighted and directed networks with five layers. Second, an improved failure mode and effects analysis (IFMEA) method combined with the D‐number method and VIKOR approach is presented to determine the importance of reliability nodes. Third, a cut set of the reliability model is generated by any exception of a reliability indicator by considering the propagation relationships, and the reliability sensibility index is defined to characterize the fluctuations in system reliability. The effectiveness of the proposed framework is demonstrated in an actual reliability modelling application. As an intuitive method, the proposed framework inherits the advantages of conventional models but overcomes the drawbacks of these existing methods. Therefore, this method can be flexibly and efficiently used in the reliability modelling of RMCMSs. Moreover, the approach provides a foundation for comprehensive and dynamic reliability analysis and the failure mechanism mining of RMCMSs, and it can be used in other engineering applications.

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“…Lu and Jiang [2] provided an overview of PSA applications in three areas of digital I&C systems in NPPs. Kang et al [3] provided an overview of the risk quantification issues related to the digitalized safety systems in NPPs. Authen and Holmberg [4] provided an overview of the state-of-the-art of the PSA of digital I&C systems in NPPs.…”

Section: Introductionmentioning

confidence: 99%

Important factors affecting fault detection coverage in probabilistic safety assessment of digital instrumentation and control systems

Kim

Lee

2014

Journal of Nuclear Science and Technology

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As digital instrumentation and control (I&C) systems are gradually introduced into nuclear power plants (NPPs), concerns about the I&C systems' reliability and safety are growing. Fault detection coverage is one of the most critical factors in the probabilistic safety assessment (PSA) of digital I&C systems. To correctly estimate the fault detection coverage, it is first necessary to identify important factors affecting it. From experimental results found in the literature and the authors' experience in fault injection experiments on digital systems, four system-related factors and four fault-related factors are identified as important factors affecting the fault detection coverage. A fault injection experiment is performed to demonstrate the dependency of fault detection coverage on some of the identified important factors. The implications of the experimental results on the estimation of fault detection coverage for the PSA of digital I&C systems are also explained. The set of four system-related factors and four fault-related factors is expected to provide a framework for systematically comparing and analyzing various fault injection experiments and the resultant estimations on fault detection coverage of digital I&C systems in NPPs.

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An Overview of Risk Quantification Issues for Digitalized Nuclear Power Plants Using a Static Fault Tree

Cited by 22 publications

References 1 publication

A method of identifying and analyzing irrational system behavior in a system of systems

A method of identifying and analyzing irrational system behavior in a system of systems

A novel framework for the reliability modelling of repairable multistate complex mechanical systems considering propagation relationships

Important factors affecting fault detection coverage in probabilistic safety assessment of digital instrumentation and control systems

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