Power transformer faults diagnosis using undestructive methods (Roger and IEC) and artificial neural network for dissolved gas analysis applied on the functional transformer in the Algerian north-eastern: a comparative study

• Дата: 2021
• Автори: Bouchaoui, L., Hemsas, K. E., Mellah, H., Benlahneche, S.
• Формат: Стаття
• Мова: English
• Опубліковано: National Technical University "Kharkiv Polytechnic Institute" and State Institution “Institute of Technical Problems of Magnetism of the National Academy of Sciences of Ukraine” 2021
• Теми: analysis of dissolved gases in oil; diagnostics of power transformers; feed-forward neural networks; Rogers method; IEC method; аналіз розчинених газів у маслі; діагностика силових трансформаторів; нейронні мережі зі зворотним зв'язком; метод Роджерса; метод МЕК
• Онлайн доступ: http://eie.khpi.edu.ua/article/view/237786
• Назва журналу: Electrical Engineering & Electromechanics

Introduction. Nowadays, power transformer aging and failures are viewed with great attention in power transmission industry. Dissolved gas analysis (DGA) is classified among the biggest widely used methods used within the context of asset management policy to detect the incipient faults in their ear...