Assessing Consequences of the Final Failure of a Power Transformer Using Fuzzy Logic and Expert Criteria

C. A. Farfan, D. M. Marin, Diego Chacon-Troya, Ricardo Medina

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Scopus citations

Abstract

This document presents an innovative tool for assessing the consequence of the final failure a power transformer, this metric considers aspects as: power quality, overload of other equipment, safety, reliability of the system and the environmental social impact. For this evaluation, existing standards as well experience and industry practices are integrated. For this regard, a fuzzy inference system was proposed, the membership functions and the rules for integrating each input are based on a survey applied over a set of Ecuadorian power transformers; this study considers technical, economic and social characteristics of the impact of the final failure. The resulting membership functions, and the rules are presented.

Original languageEnglish
Title of host publication2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Print)9781538624104
DOIs
StatePublished - 27 Aug 2018
Event2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018 - Quebec City, Canada
Duration: 13 May 201816 May 2018

Publication series

NameCanadian Conference on Electrical and Computer Engineering
Volume2018-May
ISSN (Print)0840-7789

Conference

Conference2018 IEEE Canadian Conference on Electrical and Computer Engineering, CCECE 2018
Country/TerritoryCanada
CityQuebec City
Period13/05/1816/05/18

Bibliographical note

Publisher Copyright:
© 2018 IEEE.

Keywords

  • Asset management
  • Consequence factor
  • Delphi method
  • Expert criteria
  • Fuzzy logic
  • Health index
  • Power transformers

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