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

• Дата: 2017
• Автори: Bondarenko, V. E., Shutenko, O. V.
• Формат: Стаття
• Мова: English; Ukrainian
• Опубліковано: National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2017
• Теми: 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; диагностика трансформаторов; анализ растворенных в масле газов; особенности газосодержания; уровни концентраций; нечеткие нейронные сети; функции принадлежности; распределение Вейбулла; обучение сети; нечеткий вывод; ошибочные решения
• Онлайн доступ: 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...