شماره ركورد كنفرانس :
3723
عنوان مقاله :
كاربرد مشخصه هاي بافتي حاصل از تبديل ويولت پيوسته در تشخيص نوع تخليه جزئي ترانسفورماتور
عنوان به زبان ديگر :
Application of CWT-Texture features on Transformer-PD-source Discriminatin
پديدآورندگان :
parvin darabad Vahid v.parvin@gu.ac.ir 1Department of Electrical Engineering, Golestan University, Gorgan, Iran
كليدواژه :
power transformer , partial discharge , continuous wavelet Transform , texture analysis
عنوان كنفرانس :
دومين كنفرانس بين المللي در مهندسي برق
چكيده فارسي :
In this paper a new approach of feature extraction is introduced in order to classify different power transformer PD models. This approach starts with employing continuous wavelet transform as a tool to map single PD pulses into 2-dimensinal space. Then texture analysis is used to extract features. Results showed there is a high potential of complete separation of different PD models using the proposed data mining tool.
چكيده لاتين :
In this paper a new approach of feature extraction is introduced in order to classify different power transformer PD models. This approach starts with employing continuous wavelet transform as a tool to map single PD pulses into 2-dimensinal space. Then texture analysis is used to extract features. Results showed there is a high potential of complete separation of different PD models using the proposed data mining tool.
