Optimization of preventive maintenance of nuclear safety-class DCS based on reliability modeling
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초록
Nuclear safety-class DCS is used for nuclear reactor protection function, which is one of the key facilities to ensure nuclear power plant safety, the maintenance for DCS to keep system in a high reliability is significant. In this paper, Nuclear safety-class DCS system developed by the Nuclear Power Institute of China is investigated, the model of reliability estimation considering nuclear power plant emergency trip control process is carried out using Markov transfer process. According to the System-Subgroup-Module hierarchical iteration calculation, the evolution curve of failure probability is established, and the preventive maintenance optimization strategy is constructed combining reliability numerical calculation and periodic overhaul interval of nuclear power plant, which could provide a quantitative basis for the maintenance decision of DCS system
Abstract
Nuclear safety-class DCS is used for nuclear reactor protection function, which is one of the key facilities to ensure nuclear power plant safety, the maintenance for DCS to keep system in a high reliability is significant. In this paper, Nuclear safety-class DCS system developed by the Nuclear Power Institute of China is investigated, the model of reliability estimation considering nuclear power plant emergency trip control process is carried out using Markov transfer process. According to the System-Subgroup-Module hierarchical iteration calculation, the evolution curve of failure probability is established, and the preventive maintenance optimization strategy is constructed combining reliability numerical calculation and periodic overhaul interval of nuclear power plant, which could provide a quantitative basis for the maintenance decision of DCS system
참고문헌 (11)
- O. C. G€orür, "Integrating predictive maintenance in adaptive process scheduling for a safe and efficient industrial process", Appl. Sci, 11(11), pp.5042~ (2021)[DOI]
- F. Calabrese, "Predictive maintenance: a novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries", Appl. Sci, 11(8), pp.3380~ (2021)[DOI]
- A. Jardine, "A review on machinery diagnostics and prognostics implementing condition-based maintenance", Mech. Syst. Signal Process, 20(7), pp.1483~1510 (2006)
- S. P. Orlov, "Application of hierarchical colored Petri Nets for technological facilities' maintenance process evaluation", Appl. Sci, 11(11), pp.5100~ (2021)[DOI]
- Z. Tian, "Condition based maintenance optimization for multicomponent systems using proportional hazards model", Reliab. Eng. Syst. Saf, 96(5), pp.581~589 (2011)
- Gohel Hardik A., "Predictive maintenance architecture development for nuclear infrastructure using machine learning", Nuclear Engineering and Technology, 52(7), pp.1436~1442 (2020), 한국원자력학회[DOI]
- 서정일, "Experimental approach to evaluate software reliability in hardware-software integrated environment", Nuclear Engineering and Technology, 52(7), pp.1462~1470 (2020), 한국원자력학회[DOI]
- B. R. Sarker, "Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy", Renew. Energy, 85, pp.104~113 (2016)
- C. Zhang, "Opportunistic maintenance for wind turbines considering imperfect, reliability-based maintenance", Renew. Energy, 103, pp.606~612 (2016)
- Pramod Kumar, "Performance evaluation of safety-critical systems of nuclear power plant systems", Nuclear Engineering and Technology, 52(3), pp.560~567 (2020), 한국원자력학회
- 이은찬, "Evaluation of Availability of Nuclear Power Plant Dynamic Systems using Extended Dynamic Reliability Graph with General Gates (DRGGG)", Nuclear Engineering and Technology, 51(2), pp.444~452 (2019), 한국원자력학회[DOI]
