Title :
A Wavelet Approach Applied to Transformer Fault Protection: Signal Processing
Author :
Arboleya, Pablo ; Díaz, Guzmán ; Gonzalez-Moran, Cristina ; Gómez-Aleixandre, Javier
Author_Institution :
Dept. of Electr. Eng., Oviedo Univ., Gijon
Abstract :
The use of multiresolution analysis and wavelets is explored in this paper as a means of discrimination between inrush and faults in power transformers. The discrimination is based on the analysis of the high frequency components of the differential signal after using Clarke transformation. High values of the high frequency spectrum have been found to be present at least once per fundamental cycle if the transformer presents an internal fault. Finite element analysis as well as laboratory test on a 15 kVA transformers are presented to discuss the technique
Keywords :
finite element analysis; power transformer protection; signal processing; wavelet transforms; Clarke transformation; differential signal; finite element analysis; high frequency spectrum; multiresolution analysis; power transformer fault protection; signal processing; wavelet approach; Finite element methods; Frequency; Laboratories; Multiresolution analysis; Power transformers; Signal analysis; Signal processing; Surge protection; Testing; Wavelet analysis; interturn faults; power transformers; relays; wavelets;
Conference_Titel :
Computer as a Tool, 2005. EUROCON 2005.The International Conference on
Conference_Location :
Belgrade
Print_ISBN :
1-4244-0049-X
DOI :
10.1109/EURCON.2005.1630283