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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
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.ORCID iD: 0000-0003-1718-550X
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.ORCID iD: 0000-0002-9694-8079
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.ORCID iD: 0000-0002-1682-5950
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0002-4107-0991
2022 (English)In: Energies, E-ISSN 1996-1073, Vol. 15, no 3, article id 1024Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
MDPI , 2022. Vol. 15, no 3, article id 1024
Keywords [en]
RAMS, fuzzy inference system, stochastic time Petri nets, Markov chains, dynamic modeling
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering
Research subject
Operation and Maintenance
Identifiers
URN: urn:nbn:se:ltu:diva-89787DOI: 10.3390/en15031024ISI: 000759870300001Scopus ID: 2-s2.0-85124254894OAI: oai:DiVA.org:ltu-89787DiVA, id: diva2:1646029
Note

Validerad;2022;Nivå 2;2022-03-21 (hanlid);

Funder: FEDER, program COMPETE; Fundação para a Ciência e a Tecnologia (FCT) (UIDB/00285/2020);

Part of special issue: Modeling and Optimization of Electrical Systems

Available from: 2022-03-21 Created: 2022-03-21 Last updated: 2023-08-28Bibliographically approved

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Galar, Diego

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