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Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling
CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal.
CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal; Instituto Superior de Engenharia de Coimbra/Instituto Politécnico de Coimbra (ISEC/IPC), 3030-199 Coimbra, Portugal.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Operation, Maintenance and Acoustics.ORCID iD: 0000-0001-7229-4050
CEMMPRE, Department of Mechanical Engineering, University of Coimbra, 3030-788 Coimbra, Portugal; Instituto Superior de Engenharia de Coimbra/Instituto Politécnico de Coimbra (ISEC/IPC), 3030-199 Coimbra, Portugal.
2021 (English)In: Applied Sciences, E-ISSN 2076-3417, Vol. 11, no 6, article id 2604Article in journal (Refereed) Published
Abstract [en]

The big hospitals’ electricity supply system’s reliability is discussed in this article through Petri nets and Fuzzy Inference System (FIS). To simulate and analyse an electric power system, the FIS Mamdani in MATLAB is implemented. The advantage of FIS is that it uses human experience to provide a faster solution than conventional techniques. The elements involved are the Main Electrical Power, the Generator sets, the Automatic Transfer Switches (ATS), and the Uninterrupted Power Supply (UPS), which are analysed to characterize the system behaviour. To evaluate the system and identified the lower reliability modules being proposed, a new reliable design model through the Petri Nets and Fuzzy Inference System approach. The resulting approach contributes to increasing the reliability of complex electrical systems, aiming to reduce their faults and increase their availability.

Place, publisher, year, edition, pages
MDPI, 2021. Vol. 11, no 6, article id 2604
Keywords [en]
maintenance reliability, availability, Petri nets, fuzzy inference system, dynamic modelling
National Category
Other Electrical Engineering, Electronic Engineering, Information Engineering Reliability and Maintenance
Research subject
Operation and Maintenance Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-84665DOI: 10.3390/app11062604ISI: 000645731600001Scopus ID: 2-s2.0-85103303151OAI: oai:DiVA.org:ltu-84665DiVA, id: diva2:1558089
Note

Validerad;2021;Nivå 2;2021-08-18 (alebob);

Forskningsfinansiärer: FEDER funds through the program COMPETE-Programa Operacional Factores de Competitividade; FCT — Fundação para a Ciência e a Tecnologia (UIDB/00285/2020)

Available from: 2021-05-28 Created: 2021-05-28 Last updated: 2023-05-05Bibliographically approved

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Singh, Sarbjeet

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