DEVELOPMENT OF FUZZY NEURAL NETWORK FOR THE INTERPRETATION OF THE RESULTS OF DISSOLVED IN OIL GASES ANALYSIS

DEVELOPMENT OF FUZZY NEURAL NETWORK FOR THE INTERPRETATION OF THE RESULTS OF DISSOLVED IN OIL GASES ANALYSIS

Purpose. The purpose of this paper is a diagnosis of power transformers on the basis of the results of the analysis of gases dissolved in oil. Methodology. To solve this problem a fuzzy neural network has been developed, tested and trained. Results. The analysis of neural network to recognize the po...

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Bibliographic Details
Date:2017
Main Authors: Bondarenko, V. E., Shutenko, O. V.
Format: Article
Language:English
Ukrainian
Published: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2017
Subjects:
diagnostics of transformers
analysis of dissolved gases in oil
peculiarities of gas content
concentration levels
fuzzy neural networks
membership function
Weibull distribution
network training
fuzzy conclusion
wrong decisions
621.314
Online Access:http://eie.khpi.edu.ua/article/view/2074-272X.2017.2.08
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Journal Title:Electrical Engineering & Electromechanics

Institution

Electrical Engineering & Electromechanics

Internet

http://eie.khpi.edu.ua/article/view/2074-272X.2017.2.08

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