Internal Fault Classification Algorithm in Power Transformer Based on Discrete Wavelet Transform and Fuzzy Logic

被引：0

作者：

Ananwattanaporn, Santipont ^{[1
]}

Leelajindakrairerk, Monthon ^{[1
]}

Jettanasen, Chaiyan ^{[1
]}

Pothisarn, Chaichan ^{[1
]}

Ngaopitakkul, Atthapol ^{[1
]}

Asfani, Dimas Anton ^{[2
]}

机构：

[1] King Mongkuts Inst Technol Ladkrabang, Fac Engn, Bangkok, Thailand

[2] Inst Teknol Sepuluh Nopember, Dept Elect Engn, Surabaya, East Java, Indonesia

来源：

2017 6TH IIAI INTERNATIONAL CONGRESS ON ADVANCED APPLIED INFORMATICS (IIAI-AAI) | 2017年

关键词：

Discrete Wavelet Transform; Fuzzy Logic; Internal Fault; Power Transformer; PROTECTION; INRUSH;

D O I：

10.1109/IIAI-AAI.2017.204

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

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 1/4 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.

引用

页码：886 / 891

页数：6

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