Transformer Oil Failure Analysis Based on Dissolved Gas Analysis (DGA) Test Using Breakdown Voltage and Fuzzy Logic Methods

Authors

  • Rakhmad Syafutra Lubis Universitas Syiah Kuala
  • Muhammad Hafizh Akbar Universitas Syiah Kuala
  • Ramdhan Halid Siregar Universitas Syiah Kuala
  • Masri Masri Universitas Syiah Kuala

DOI:

https://doi.org/10.56347/jes.v4i2.381

Keywords:

Transformer Insulation Oil Failure, DGA Test, Breakdown Voltage Method, Fuzzy Loggic Method

Abstract

A common problem that occurs in transformers is failure of the insulating oil. One solution to prevent this disruption is to analyze indications of insulating oil failure. Several previous studies on the analysis of transformer insulating oil failure were based on dissolved gas content tests of transformer oil samples. The research was conducted using several methods in processing dissolved gas test results data, such as the TDCG (Total Dissolved Combustible Gas), Roger's Ratio, and Duval's Triangle methods. In this study, two methods were used for comparison, namely the Breakdown Voltage method and the Fuzzy Logic method. The results obtained show that the condition of the insulating oil using fuzzy logic in the Matlab simulation is in accordance with the condition of the transformer insulating oil based on its breakdown voltage characteristics, namely in a normal state. Meanwhile, gas content that is at a high or very high level has a significant impact on the indication of failure in transformer insulating oil, namely the concentration of TDCG and nitrogen gas content.

Author Biographies

  • Rakhmad Syafutra Lubis, Universitas Syiah Kuala

    Department of Mechanical Engineering and Industri, Engineering Faculty, Universitas Syiah Kuala, Banda Aceh City, Aceh Province, Indonesia.

  • Muhammad Hafizh Akbar, Universitas Syiah Kuala

    Department of Electrical Engineering and Computer, Engineering Faculty, Universitas Syiah Kuala, Banda Aceh City, Aceh Province, Indonesia.

  • Ramdhan Halid Siregar, Universitas Syiah Kuala

    Department of Mechanical Engineering and Industri, Engineering Faculty, Universitas Syiah Kuala, Banda Aceh City, Aceh Province, Indonesia.

  • Masri Masri, Universitas Syiah Kuala

    Department of Mechanical Engineering and Industri, Engineering Faculty, Universitas Syiah Kuala, Banda Aceh City, Aceh Province, Indonesia.

References

Sinuhaji, Y. P. (2012). Analisis keadaan minyak isolasi transformator daya 150 kV menggunakan metode dissolved gas analysis (DGA) dan fuzzy logic pada gardu induk wilayah Sidoarjo.

Anderson, P. M., & Fouad, A. A. (2002). Power system control and stability (2nd ed.). IEEE Press.

Demmassabu, A. R., Patras, L. S., & Lisi, F. (2014). Analisa kegagalan transformator daya berdasarkan hasil uji DGA dengan metode TDCG, key gas, Roger’s ratio, dan Duval’s triangle pada gardu induk.

Tobi, M. D. (2018). Analisis pengaruh ketidakseimbangan beban terhadap arus netral dan losses pada transformator distribusi di PT PLN (Persero) Area Sorong. Electro Luceat, 4(1), 5.

Sutrayono, G. L. (2015). Analisa indeks kesehatan transformator daya berbasis neural network untuk mereduksi jumlah test pada trafo.

Mardiyanto, D. C. (2019). Analisis keadaan minyak isolasi transformator daya menggunakan metode fuzzy logic berdasarkan data dissolved gas analysis (DGA). Jurnal Teknik Elektro, 8, 411–419.

Amsal, A., & Soni, P. (2025). Analysis of GT 2.1 transformer oil testing using the dissolved gas analysis (DGA) method at PT PLN Nusantara Power G-Tech. Jurnal Teknologi Terapan, 9(1), 540–550.

Al-Sakini, R., Bilal, G. A., Sadiq, A. T., & Al-Maliki, W. A. K. (2025). Dissolved gas analysis for fault prediction in power transformers using machine learning techniques. Applied Sciences, 15(1), 118. https://doi.org/10.3390/app15010118

Nishtar, Z., & Wan, F. (2024). Implementation of fuzzy logic scheme for assessment of power transformer oil deterioration using imprecise information. Energies, 17, 5412. https://doi.org/10.3390/en17215412

Poonnoy, N., Suwanasri, C., & Suwanasri, S. (2021). Fuzzy logic approach to dissolved gas analysis for power transformer failure index and fault identification. Energies, 14, 36. https://doi.org/10.3390/en14010036

Velásquez, R. M. A. (2024). A comprehensive analysis for wind turbine transformer and its limits in the dissolved gas evaluation. Heliyon, 10, e39449. https://doi.org/10.1016/j.heliyon.2024.e39449

Wibowo, K. I., & Hendry. (2024). Sistem deteksi pada transformator menggunakan dissolved gas analysis (DGA) dengan metode logistic regression. AITI: Jurnal Teknologi Informasi, 21, 197–209.

Downloads

Published

2025-12-10

Issue

Section

Articles

How to Cite

Lubis, R. S., Akbar, M. H. ., Siregar, R. H. ., & Masri, M. (2025). Transformer Oil Failure Analysis Based on Dissolved Gas Analysis (DGA) Test Using Breakdown Voltage and Fuzzy Logic Methods. Journal of Engineering and Science, 4(2), 78-86. https://doi.org/10.56347/jes.v4i2.381
Similar Articles

Articles sharing related keywords and machine learning classifications:

Penelitian Efek Penggunaan Grid Tie Inverter pada Sistem Hibrid dengan Solar Panel dan Diesel
Analisis Efek Pelat Berpori pada Serat Tanaman Ekor Kucing (Typha Latifolia) terhadap Koefisien Penyerap Suara
Limbah Tempurung Kelapa diuji Guna Menjadi Bahan Bakar Alternatif
Optimalisasi Performa Sistem Tegangan dengan Pemasangan Kapasitor Bank pada Pembangkit Listrik Tenaga Uap (PLTU) Nagan Raya
Kegagalan Permukaan Kontak Rail dan Wheel pada Overhead Travelling Crane
Most read articles by the same author(s)

Other papers published by author(s) in this journal:

Optimalisasi Performa Sistem Tegangan dengan Pemasangan Kapasitor Bank pada Pembangkit Listrik Tenaga Uap (PLTU) Nagan Raya
Small-Scale Wind Power Generator with Inverse Taper and Taper Type Blades at Low Wind Speed