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Stochastic versus Fuzzy Models—A Discussion Centered on the Reliability of an Electrical Power Supply System in a Large European Hospital

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  • Constâncio António Pinto

    (CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal
    Department of Mechanical Engineering, Universidade Nacional de Timor-Leste, Av. Cidade de Lisboa, Díli, Timor-Leste)

  • José Torres Farinha

    (CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal
    Instituto Superior de Engenharia de Coimbra/Instituto Politécnico de Coimbra (ISEC/IPC), Department of Mechanical Engineering, 3030-199 Coimbra, Portugal)

  • Hugo Raposo

    (CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal
    Instituto Superior de Engenharia de Coimbra/Instituto Politécnico de Coimbra (ISEC/IPC), Department of Mechanical Engineering, 3030-199 Coimbra, Portugal)

  • Diego Galar

    (Department of Civil, Environmental and Natural Resources Engineering, Lulea University of Technology, 97187 Luleå, Sweden)

Abstract

This paper discusses the Reliability, Availability, Maintainability, and Safety (RAMS) of an electrical power supply system in a large European hospital. The primary approach is based on fuzzy logic and Petri nets, using the CPNTools software to simulate and determine the most important modules of the system according to the Automatic Transfer Switch. Fuzzy Inference System is used to analyze and assess the reliability value. The stochastic versus fuzzy approach is also used to evaluate the reliability contribution of each system module. This case study aims to identify and analyze possible system failures and propose new solutions to improve the system reliability of the power supply system. The dynamic modeling is based on block diagrams and Petri nets and is evaluated via Markov chains, including a stochastic approach linked to the previous analysis. This holistic approach adds value to this type of research question. A new electrical power supply system design is proposed to increase the system’s reliability based on the results achieved.

Suggested Citation

  • Constâncio António Pinto & José Torres Farinha & Hugo Raposo & Diego Galar, 2022. "Stochastic versus Fuzzy Models—A Discussion Centered on the Reliability of an Electrical Power Supply System in a Large European Hospital," Energies, MDPI, vol. 15(3), pages 1-21, January.
    • Handle: RePEc:gam:jeners:v:15:y:2022:i:3:p:1024-:d:738287
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    References listed on IDEAS

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    1. Sheu, Shey-Huei & Chang, Chin-Chih & Chen, Yen-Luan & George Zhang, Zhe, 2015. "Optimal preventive maintenance and repair policies for multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 78-87.
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    Cited by:

    1. Zaitseva, Elena & Levashenko, Vitaly & Rabcan, Jan, 2023. "A new method for analysis of Multi-State systems based on Multi-valued decision diagram under epistemic uncertainty," Reliability Engineering and System Safety, Elsevier, vol. 229(C).
    2. Gao, Xin & Ye, Yunxia & Su, Wenxin & Chen, Linyan, 2023. "Assessing the comprehensive importance of power grid nodes based on DEA," International Journal of Critical Infrastructure Protection, Elsevier, vol. 42(C).
    3. Kirill Varnavskiy & Fedor Nepsha & Qingguang Chen & Alexander Ermakov & Sergey Zhironkin, 2023. "Reliability Assessment of the Configuration of Dynamic Uninterruptible Power Sources: A Case of Data Centers," Energies, MDPI, vol. 16(3), pages 1-15, February.

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