By Topic

Automation of diagnosis of electric power transformers in Itaipu Hydroelectric Plant with a fuzzy expert system

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Jovelino Falqueto ; Santa Catarina Federal University, Informatics and Statistics Department, Florianópolis, SC, Brazil ; Matheus Sebastian Telles

A method for automating the maintenance of electric power transformers by means of Fuzzy Expert System is presented. The rules and the Knowledge Base of that system have been obtained from the usual proceedings adopted by the Brazilian Itaipu Hydroelectric Plant, as well as from the Company's expert personnel. The adoption of a fuzzy methodology in the determination of the diagnosis showed to be quite appropriate to approach the problem. In this paper, several details regarding the choice of the modular structure of the Expert System and its rules are discussed, including the implementation of the Key Gas criterion associated with Rogers criterion. The original version of that criterion has been extended in order to comprise a greater number alternatives originating from the relationships among the types of gases found dissolved in the insulating oil.

Published in:

2007 IEEE Conference on Emerging Technologies and Factory Automation (EFTA 2007)

Date of Conference:

25-28 Sept. 2007