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Fault classification in transformer using low frequency component
Author(s)
Date Issued
December 13, 2017
Type
Conference Paper
Abstract
Transform is a vital equipment in power system that need protection system in order to provide fast and correct response when disturbance occur in system. So, this paper proposed internal and external fault classification in Transformer using algorithm based on discrete wavelet transform (DWT). Low frequency component from DWT has been used to create condition for algorithm. The proposed algorithm has been test using transmission line connected to transformer experimental setup on laboratory level. The result from proposed algorithm shown satisfactory result with 100% accuracy in both internal and external fault in transmission line connected transformer system.
Citation
2017 IEEE 10th International Workshop on Computational Intelligence and Applications Iwcia 2017 Proceedings, 2017-December, 199-202, 2017