DocumentCode :
587018
Title :
Discriminating among inrush current, external fault and internal fault in power transformer using low frequency components comparison of DWT
Author :
Jettanasen, Chaiyan ; Pothisarn, C. ; Klomjit, J. ; Ngaopitakkul, A.
Author_Institution :
Dept. of Electr. Eng., King Mongkut´s Inst. of Technol. Ladkrabang, Bangkok, Thailand
fYear :
2012
fDate :
21-24 Oct. 2012
Firstpage :
1
Lastpage :
6
Abstract :
A technique using discrete wavelet transform (DWT) in order to discriminate among inrush current, internal fault, and external fault has been proposed. Daubechies4 (db4) is employed as mother wavelet in order to decompose low frequency components from fault signals. A ratio between per unit differential current and per unit time is calculated and performed as comparison indicator. The results obtained from the proposed technique have good accuracy to discriminating fault in the considered system.
Keywords :
discrete wavelet transforms; power transformers; DWT; Daubechies4; discrete wavelet transform; external fault; fault signals; inrush current; internal fault; low frequency components; mother wavelet; per unit differential current; per unit time; power transformer; Circuit faults; Discrete wavelet transforms; Power transformers; Surge protection; Surges; Windings; Discrete Wavelet Transform; Fault; Inrush Current; Transformer;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Electrical Machines and Systems (ICEMS), 2012 15th International Conference on
Conference_Location :
Sapporo
Print_ISBN :
978-1-4673-2327-7
Type :
conf
Filename :
6401784
Link To Document :
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