A Novel Approach to Power Transformer Fault Classification
عنوان مقاله: A Novel Approach to Power Transformer Fault Classification
شناسه ملی مقاله: PSC15_005
منتشر شده در پانزدهمین کنفرانس بین المللی برق در سال 1378
شناسه ملی مقاله: PSC15_005
منتشر شده در پانزدهمین کنفرانس بین المللی برق در سال 1378
مشخصات نویسندگان مقاله:
Tadeja Bahnik - Faculty of Electrical Engineering University of Ljubljana Slovenia
Gregor Verbic Ferdinand Gubina - Faculty of Electrical Engineering University of Ljubljana Slovenia
خلاصه مقاله:
Tadeja Bahnik - Faculty of Electrical Engineering University of Ljubljana Slovenia
Gregor Verbic Ferdinand Gubina - Faculty of Electrical Engineering University of Ljubljana Slovenia
In the paper, a method for classifying faults occurring on a power transformer and its vicinity is presented. Artificial neural network is used for fault classification. The ANN is trained with help of a database computed with the PSCAD Testing results show that the proposed neural network can be used for fault classification dedicated to power transformers.
کلمات کلیدی: Power Transformer, Fault Classification, Artificial Neural Network
صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/36323/