DocumentCode :
751700
Title :
Modeling and Characterization of Transformers Internal Faults Using Finite Element and Discrete Wavelet Transforms
Author :
Abed, N.Y. ; Mohammed, O.A.
Author_Institution :
Energy Syst. Lab., Florida Int. Univ., Miami, FL
Volume :
43
Issue :
4
fYear :
2007
fDate :
4/1/2007 12:00:00 AM
Firstpage :
1425
Lastpage :
1428
Abstract :
This paper investigates the behavior of three phase transformers with internal faults under sinusoidal and nonsinusoidal operating conditions. The terminal behavior of the transformer was investigated by coupling the finite element transformer´s physical model with external electric circuit equations. Two types of internal faults were modeled turn-to-ground faults, and turn-to-turn faults with and without arcing. A discrete wavelet transforms (DWT) procedure was then used to extract the feature of the transformer fault currents. The key advantages of the DWT are its ability to provide a local representation of the current signal for normal and faulty modes, as well as its applicability to handle nonstationary fault signals. This characterization gives us an efficient way to design and evaluate detection algorithms for transformers internal faults and the system they operate in
Keywords :
discrete wavelet transforms; fault diagnosis; finite element analysis; transformers; discrete wavelet transforms; external electric circuit equations; finite element transforms; nonstationary fault signals; transformer internal faults; transformer terminal behavior; turn-to-ground faults; turn-to-turn faults; Algorithm design and analysis; Circuit faults; Coupling circuits; Detection algorithms; Discrete wavelet transforms; Equations; Fault currents; Feature extraction; Finite element methods; Phase transformers; Arcing faults; discrete wavelet transforms (DWT); finite-element (FE) modeling; internal faults; transformers;
fLanguage :
English
Journal_Title :
Magnetics, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9464
Type :
jour
DOI :
10.1109/TMAG.2007.891411
Filename :
4137655
Link To Document :
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