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Buckling Severity Diagnosis in Power Transformer Windings Using Euclidean Distance Classifier

عنوان مقاله: Buckling Severity Diagnosis in Power Transformer Windings Using Euclidean Distance Classifier
شناسه ملی مقاله: ICEE19_052
منتشر شده در نوزدهمین کنفرانس مهندسی برق ایران در سال 1390
مشخصات نویسندگان مقاله:

K Pourhossein - Islamic Azad University, Tabriz Branch, Tabriz, Iran,
G.B. .Gharehpetian - Electrical Engineering Department, Amirkabir University of Technology, Tehran, Iran,
E Rahimpour - ABB AG, Power Products Division, Transformers, R&D Department, Bad Honnef, Germany

خلاصه مقاله:
Nowadays, Transfer Function (TF) is known as a useful tool to diagnose mechanical faults in power transformer windings. Although TF is emerging as a powerful diagnostics technique, there is still no general guideline for interpreting measured TFs. In this paper, buckling severity of transformer windings is diagnosed using an Euclidean Distance (ED) classifier. To verify usefulness of The proposed method, some experimental results are used.

کلمات کلیدی:
Power Transformer, Transfer Function (TF), Winding Buckling, Euclidean Distance (ED) Classifier

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/153625/