Application of CWT-Texture features on Transformer-PD-source Discriminatin
Publish place: 2nd International Conference on Electrical Engineering
Publish Year: 1396
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
ICELE02_080
تاریخ نمایه سازی: 7 اسفند 1396
Abstract:
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
Authors
Vahid parvin darabad
Golestan University