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

• Datum: 2017
• Hauptverfasser: Bondarenko, V. E., Shutenko, O. V.
• Format: Artikel
• Sprache: English; Ukrainian
• Veröffentlicht: National Technical University "Kharkiv Polytechnic Institute" and Аnatolii Pidhornyi Institute of Power Machines and Systems of NAS of Ukraine 2017
• Schlagworte: 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 Zugang: http://eie.khpi.edu.ua/article/view/2074-272X.2017.2.08
• Назва журналу: Electrical Engineering & Electromechanics

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...