Nuclear Engineering and Technology

Korean Nuclear Society (한국원자력학회)
권호 표지
DOI QR코드

DOI QR Code

Optimization of preventive maintenance of nuclear safety-class DCS based on reliability modeling

  • Peng, Hao (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China) ;
  • Wang, Yuanbing (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China) ;
  • Zhang, Xu (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China) ;
  • Hu, Qingren (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China) ;
  • Xu, Biao (Science and Technology on Reactor System Design Technology Laboratory, Nuclear Power Institute of China)
  • Received : 2022.01.11
  • Accepted : 2022.05.13
  • Published : 2022.10.25
Download PDF
⟨ Previous Next ⟩

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.

Keywords

Acknowledgement

The project was funded by Sichuan Provincial Science and Technology Fund for Distinguished Young Scholars (2020JDJQ0068).

References

  1. O.C. Gorur, X. Yu, F. Sivrikaya, Integrating predictive maintenance in adaptive process scheduling for a safe and efficient industrial process, Appl. Sci. 11 (11) (2021) 5042, https://doi.org/10.3390/app11115042.
  2. F. Calabrese, A. Regattieri, M. Bortolini, et al., Predictive maintenance: a novel framework for a data-driven, semi-supervised, and partially online prognostic health management application in industries, Appl. Sci. 11 (8) (2021) 3380, https://doi.org/10.3390/app11083380.
  3. A. Jardine, D. Lin, D. Banjevic, A review on machinery diagnostics and prognostics implementing condition-based maintenance, Mech. Syst. Signal Process. 20 (7) (2006) 1483-1510. https://doi.org/10.1016/j.ymssp.2005.09.012
  4. S.P. Orlov, S.V. Susarev, R.A. Uchaikin, Application of hierarchical colored Petri Nets for technological facilities' maintenance process evaluation, Appl. Sci. 11 (11) (2021) 5100, https://doi.org/10.3390/app11115100.
  5. Z. Tian, H. Liao, Condition based maintenance optimization for multicomponent systems using proportional hazards model, Reliab. Eng. Syst. Saf. 96 (5) (2011) 581-589. https://doi.org/10.1016/j.ress.2010.12.023
  6. H.A. Gohel, H. Upadhyay, L. Lagos, et al., Predictive maintenance architecture development for nuclear infrastructure using machine learning, Nucl. Eng. Technol. 52 (7) (2020) 1436-1442. https://doi.org/10.1016/j.net.2019.12.029
  7. J. Seo, H.G. Kang, E.C. Lee, et al., Experimental approach to evaluate software reliability in hardware-software integrated environment, Nucl. Eng. Technol. 52 (7) (2020) 1462-1470. https://doi.org/10.1016/j.net.2020.01.004
  8. B.R. Sarker, T. Ibn Faiz, Minimizing maintenance cost for offshore wind turbines following multi-level opportunistic preventive strategy, Renew. Energy 85 (2016) 104-113. https://doi.org/10.1016/j.renene.2015.06.030
  9. C. Zhang, W. Gao, S. Guo, et al., Opportunistic maintenance for wind turbines considering imperfect, reliability-based maintenance, Renew. Energy 103 (2016) 606-612.
  10. P. Kumar, L.K. Singh, C. Kumar, Performance evaluation of safety-critical systems of nuclear power plant systems, Nucl. Eng. Technol. 52 (3) (2019) 560-567. https://doi.org/10.1016/j.net.2019.08.018
  11. E.C. Lee, S.K. Shin, P.H. Seong, Evaluation of availability of nuclear power plant dynamic systems using extended dynamic reliability graph with general gates (DRGGG), Nucl. Eng. Technol. 51 (2) (2018) 444-452.