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Internal Fault Classification Algorithm in Power Transformer Based on Discrete Wavelet Transform and Fuzzy Logic
Author(s)
Leelajindakrairerk, Monthon
Asfani, Dimas Anton
Date Issued
November 15, 2017
Type
Conference Paper
Abstract
This paper proposed classification algorithm that combination of wavelet transform and fuzzy logic to classifying the internal fault type in power transform. The decision algorithm process, a structure of the fuzzy logic consists of 4 inputs and 1 output. The maximum ratio of DWT at & #xbc; cycle of phase A, B, C is performed as input variables while the output variables are designated corresponding to various types of internal faults. The 50 MVA, 115/23 kV three-phase power transformer has been modelled and simulate to evaluate the performance of proposed algorithm. The results show that the proposed algorithm gives satisfactory results, however, the overall accuracy indicates that this algorithm requires the further improvement.
Citation
Proceedings 2017 6th Iiai International Congress on Advanced Applied Informatics Iiai Aai 2017, 886-891, 2017