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Surveillance test and monitoring strategy for the availability improvement of standby equipment using age-dependent model

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  • Shin, Sung Min
  • Jeon, In Seop
  • Kang, Hyun Gook

Abstract

In many cases, the safety of a nuclear power plant greatly depends on the successful operation of specific standby equipment at the time of demand arrival. For the effective management of safety-critical standby equipment, unavailability measures are introduced and widely applied. In this study, we propose an age-dependent unavailability model for standby equipment that considers aging-relevant information, such as the number of actual operations, the elapsed time from installation, and maintenance activities, in an integrated manner. Based on the proposed model, we present two availability enhancement strategies: the Online Monitoring based Inspection Method (OMIM) and the Shortening Surveillance Test Interval Method (SSTIM). In the OMIM, ‘elapsed-time sensitive׳ elements are monitored, without actual operation, at the differentiated monitoring interval with the help of sensing devices. For the remaining parts of the elements, actual testing is performed with an adaptive interval for each standby turn by the SSTIM. The effectiveness of the proposed enhancement schemes is demonstrated through a case study for the motor-operated valve (MOV). It is our belief that the proposed schemes can be widely applied in areas such as equipment testing, maintenance strategies, dynamic probabilistic safety assessment (PSA), and risk-informed regulations.

Suggested Citation

  • Shin, Sung Min & Jeon, In Seop & Kang, Hyun Gook, 2015. "Surveillance test and monitoring strategy for the availability improvement of standby equipment using age-dependent model," Reliability Engineering and System Safety, Elsevier, vol. 135(C), pages 100-106.
    • Handle: RePEc:eee:reensy:v:135:y:2015:i:c:p:100-106
    DOI: 10.1016/j.ress.2014.11.001
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    References listed on IDEAS

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    1. Courtois, Pierre-Jacques & Delsarte, Philippe, 2006. "On the optimal scheduling of periodic tests and maintenance for reliable redundant components," Reliability Engineering and System Safety, Elsevier, vol. 91(1), pages 66-72.
    2. Torres-Echeverría, A.C. & Martorell, S. & Thompson, H.A., 2009. "Modelling and optimization of proof testing policies for safety instrumented systems," Reliability Engineering and System Safety, Elsevier, vol. 94(4), pages 838-854.
    3. Heo, Gyunyoung & Park, Jinkyun, 2010. "A framework for evaluating the effects of maintenance-related human errors in nuclear power plants," Reliability Engineering and System Safety, Elsevier, vol. 95(7), pages 797-805.
    4. Qingqing Zhai & Rui Peng & Liudong Xing & Jun Yang, 2013. "Binary decision diagram-based reliability evaluation of k-out-of-(n + k) warm standby systems subject to fault-level coverage," Journal of Risk and Reliability, , vol. 227(5), pages 540-548, October.
    5. Lu, Lixuan & Jiang, Jin, 2007. "Analysis of on-line maintenance strategies for k-out-of-n standby safety systems," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 144-155.
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    Cited by:

    1. Martorell, P. & Martón, I. & Sánchez, A.I. & Martorell, S., 2017. "Unavailability model for demand-caused failures of safety components addressing degradation by demand-induced stress, maintenance effectiveness and test efficiency," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 18-27.
    2. Jia, Xiang & Chen, Hao & Cheng, Zhijun & Guo, Bo, 2016. "A comparison between two switching policies for two-unit standby system," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 109-118.
    3. Martorell, S. & Martón, I. & Sánchez, A. & Carlos, S., 2020. "Harmonisation of surveillance requirements and maintenance in a context of ageing and obsolescence based on reliability, availability and risk information," Reliability Engineering and System Safety, Elsevier, vol. 202(C).

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