Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/99534
Title: Increasing the Reliability of an Electrical Power System in a Big European Hospital through the Petri Nets and Fuzzy Inference System Mamdani Modelling
Authors: Pinto, Constâncio António
Farinha, José Torres 
Singh, Sarbjeet 
Raposo, Hugo 
Keywords: Maintenance reliability; Availability; Petri nets; Fuzzy inference system and dynamic modelling
Issue Date: 15-Mar-2021
Project: UIDB/00285/2020 
Serial title, monograph or event: Applied Sciences
Volume: 11
Issue: 6
Abstract: 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.
URI: https://hdl.handle.net/10316/99534
DOI: 10.3390/app11062604
Rights: openAccess
Appears in Collections:I&D CEMMPRE - Artigos em Revistas Internacionais

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