Diffuse expert system for the diagnosis of the health index of electric transformers
Keywords:
Expert system, Fuzzy logic, Health information, Transformers, ScrumAbstract
In Ambato - Ecuador, the company "Liargy" provides services for analyzing transformer dielectric oils to determine the insulating oil's physical and chemical properties and anticipate possible failures. Currently, the diagnosis is made using classical logic, which slows the process. This research develops an experimental fuzzy expert system based on the results of physicochemical and chromatographic analyses to diagnose the condition of the transformer by calculating a health index. The Scrum methodology, combined with fuzzy logic and classical analysis techniques, is used to automate the diagnosis of the state of electrical transformers based on six variables of the physicochemical properties of the insulating oil.
Downloads
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2024 Franklin Rolando Camacho Cañizares, Galo Mauricio López Sevilla, Teresa Milena Freire Aillón, Darío Javier Robayo Jacome
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors retain copyright of their work and grant the journal the right of first publication under the Creative Commons CC-BY Attribution License, which permits unrestricted use, distribution, and reproduction provided the original authorship and the journal’s first publication are acknowledged.
