Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling
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-84665 DOI: 10.3390/app11062604 ISI: 000645731600001 Scopus ID: 2-s2.0-85103303151 OAI: oai:DiVA.org:ltu-84665 DiVA, 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)
2021-05-282021-05-282023-05-05 Bibliographically approved