Fault Analysis with Data Pre-Processing Methods in Power Transformers

Merve Demirci; Mustafa Saka; Haluk Gözde; Cengiz Taplamacıoğlu

doi:10.5152/tepes.2023.23020

Fault Analysis with Data Pre-Processing Methods in Power Transformers

Abstract

Power transformers are one of the most important and costly equipment of electrical networks. Possible malfunctions that may occur in a power transformer may cause power outages as well as large energy losses. Therefore, it is important to detect the fault in transformers in advance. One of the commonly used methods for fault diagnosis in transformers is to make analyses based on gas concentrations that occur at the time of failure. This method is called dissolved gas analysis (DGA) which is based on measuring gas formation in the transformer insulating fluid during or before the fault. In this study, gas data obtained from DGA was used as the inputs of the chosen machine learning algorithms, and their diagnostic performances were measured. First, the International Electrotechnical Commission Technical Committee (IEC TC)-10 data set which is very popular in the literature was used, and then the real data set obtained from the Turkish Electricity System was applied. Since the data set consists of different sizes, it greatly affects the performance of classification algorithms. Different data preprocessing methods were applied to increase the performance of the algorithms, and how they affect the performance of the algorithms was examined.

Keywords

References

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Details

Primary Language

English

Subjects

Electrical Machines and Drives

Journal Section

Research Article

Authors

Merve Demirci ^*
0000-0001-8192-7366
Türkiye

Mustafa Saka
0000-0003-4157-2980
Türkiye

Haluk Gözde
0000-0003-3661-0794
Türkiye

Cengiz Taplamacıoğlu
0000-0001-5283-8866
Türkiye

Publication Date

October 31, 2023

Submission Date

July 15, 2023

Acceptance Date

September 12, 2023

Published in Issue

Year 2023 Volume: 3 Number: 3

DOI

https://doi.org/10.5152/tepes.2023.23020

IZ

https://izlik.org/JA85YY96JG

Cite

RIS / Bibtex

APA

Demirci, M., Saka, M., Gözde, H., & Taplamacıoğlu, C. (2023). Fault Analysis with Data Pre-Processing Methods in Power Transformers. Turkish Journal of Electrical Power and Energy Systems, 3(3), 133-139. https://doi.org/10.5152/tepes.2023.23020

AMA

1.Demirci M, Saka M, Gözde H, Taplamacıoğlu C. Fault Analysis with Data Pre-Processing Methods in Power Transformers. TEPES. 2023;3(3):133-139. doi:10.5152/tepes.2023.23020

Chicago

Demirci, Merve, Mustafa Saka, Haluk Gözde, and Cengiz Taplamacıoğlu. 2023. “Fault Analysis With Data Pre-Processing Methods in Power Transformers”. Turkish Journal of Electrical Power and Energy Systems 3 (3): 133-39. https://doi.org/10.5152/tepes.2023.23020.

EndNote

Demirci M, Saka M, Gözde H, Taplamacıoğlu C (October 1, 2023) Fault Analysis with Data Pre-Processing Methods in Power Transformers. Turkish Journal of Electrical Power and Energy Systems 3 3 133–139.

IEEE

[1]M. Demirci, M. Saka, H. Gözde, and C. Taplamacıoğlu, “Fault Analysis with Data Pre-Processing Methods in Power Transformers”, TEPES, vol. 3, no. 3, pp. 133–139, Oct. 2023, doi: 10.5152/tepes.2023.23020.

ISNAD

Demirci, Merve - Saka, Mustafa - Gözde, Haluk - Taplamacıoğlu, Cengiz. “Fault Analysis With Data Pre-Processing Methods in Power Transformers”. Turkish Journal of Electrical Power and Energy Systems 3/3 (October 1, 2023): 133-139. https://doi.org/10.5152/tepes.2023.23020.

JAMA

1.Demirci M, Saka M, Gözde H, Taplamacıoğlu C. Fault Analysis with Data Pre-Processing Methods in Power Transformers. TEPES. 2023;3:133–139.

MLA

Demirci, Merve, et al. “Fault Analysis With Data Pre-Processing Methods in Power Transformers”. Turkish Journal of Electrical Power and Energy Systems, vol. 3, no. 3, Oct. 2023, pp. 133-9, doi:10.5152/tepes.2023.23020.

Vancouver

1.Merve Demirci, Mustafa Saka, Haluk Gözde, Cengiz Taplamacıoğlu. Fault Analysis with Data Pre-Processing Methods in Power Transformers. TEPES. 2023 Oct. 1;3(3):133-9. doi:10.5152/tepes.2023.23020