Publication:

Insulation system diagnosis in power transformers using DGA analysis and Megger DC tests

Aciu, A. M., Nicola, C. I., Nicola, M, and Nitu M. C. (2021). Complementary Analysis for DGA Based on Duval Methods and Furan Compounds Using Artificial Neural Networks. Energies, 14(3), 588. https://doi.org/10 .3390/en14030588

Aizpurua, J. I., Stewart, B. G., McArthur, S. D. J., Lambert, B., Cross, J. G., and Catterson, V. M. (2019). Improved power transformer condition monitoring under uncertainty through soft computing and probabilistic health index. Applied Soft Computing, 85, 1-15. https:// doi.org/10.1016/j.asoc.2019.105530

Ceron, A., Ordu ´ na, I., Aponte G., and Romero, A. ˜ (2014) Panorama de la Gestion de Activos para ´ transformadores de Potencia. Informacion Tecnol ´ ogica, ´ 26(4), 99-110. http://dx.doi.org/10.4067/S0718 -07642015000300014

Dawson, S. B., and Trapp, R. (2005). Bioestad´ıstica medica ´ (4th ed.). Editorial Manual Moderno.

Devore, J. L. (2016). Probability & statistics for engineers and the Sciences (9th ed.). Editorial Cengage Learning.

Dhini, A., Faqih, A., Kusumoputro, B., Surjandari, I., and Kusiak, A., (2020). Data-driven fault diagnosis of power transformers using dissolved gas analysis (DGA). International Journal of Technology, 11(2), 388-399. https://doi.org/10.14716/ijtech.v11i2.3625

D´ıaz, M. S., and Schmidt, E. (2014). Diagnostico del estado ´ de Transformadores de Potencia mediante analisis DGA. ´ TECNOTRANS, 2, 62-69. https://doi.org/10.30972/ eitt.20281

Dukarm, J. (2019). Analisis de gas disuelto basado en ´ fiabilidad: un nuevo enfoque para DGA. Revista CIDET, 20, 22-24. http://revista.cidet.org.co/revistas/ revista-20/analisis-de-gas-disuelto-basado-en -fiabilidad-un-nuevo-enfoque-para-dga/

Fofana, I., and Hadjadj, Y. (2016). Electrical-based diagnostic techniques for assessing insulation condition in aged transformers. Energies, 9(9), 2-26. https://doi.org/ 10.3390/en9090679

International Electrotechnical Commission (IEC) (2006). IEC 60060-3:2006. High-voltage test techniques Part 3: Definitions and requirements for on-site testing. IEC.

International Electrotechnical Commission (IEC) (2015). IEC 60599:2015. Mineral oil-filled electrical equipment in service { Guidance on the interpretation of dissolved and free gases analysis. IEC

IEEE Standards Association (2000) IEEE recommended practice for measurement of power factor tip-up of electric machinery stator coil insulation, IEEE Std 286-2000. IEEE. https://doi.org/10.1109/IEEESTD.2000.8685849

IEEE Standards Association (2008). IEEE guide for the interpretation of gases generated in oil-immersed iransformer, IEEE Std C57.104-2008 (revision of IEEE Std C57.104-1991). IEEE. https://doi.org/10.1109/ IEEESTD.2009.4776518

IEEE Standards Association (2013) IEEE guide for diagnostic field testing of fluid-filled power transformers, regulators, and reactors, IEEE Std C57.152-2013. IEEE. https:// doi.org/10.1109/IEEESTD.2013.6544533

IEEE Standards Association (2017). IEEE guide for evaluation and reconditioning of liquid immersed power transformers, IEEE Std C57.140-2017 (revision of IEEE Std C57.140-2006). IEEE. https://doi.org/10.1109/ IEEESTD.2017.8106924

IEEE Standards Association (2019). IEEE guide for the interpretation of gases generated in mineral oil-immersed transformer, IEEE Std C57.104-2019 (revision of IEEE Std C57.104-1991). IEEE. https://doi.org/10.1109/ IEEESTD.2019.8890040

Juris, J. S., Duran, I. C., and Marulanda, A. R. (2020). Correlation between insulation resistance and dissolved gas analysis tests in power transformers [Conferencepresentation]. 2020 IEEE PES Transmission & Distribution Conference and Exhibition - Latin America (T&D LA), Montevideo, Uruguay. https://doi.org/10.1109/ TDLA47668.2020.9326248

Kruger, M., and Engelen, C. (2018). Diagnostic testing of cast resin transformers. Omicron Electronics Gmbh.

Mahmoudi, N., Samimi, M. H., and Mohseni, H. (2019). Experiences with transformer diagnosis by DGA: Case studies. IET Generation, Transmission & Distribution, 13(23), 5431-5439. https://doi.org/10.1049/iet -gtd.2019.1056

Malpure, B. D., and Baburao, K. (2008). Failure analysis & diagnostics of power transformer using dielectric dissipation factor [Conference presentation]. 2008 International Conference on Condition Monitoring and Diagnosis, Beijing, China, https://doi.org/10 .1109/CMD.2008.4580334

Marquez, M., and Molina., G. (2016). ´ Evaluacion de la vida ´ util del aislamiento en trasformadores de potencia a partir ´ del ciclo termico del calentamiento del transformador ´ [Doctoral thesis, Universidad de El Salvador]. https:// ri.ues.edu.sv/id/eprint/10341/

Patekar, K. D., and Chaudhry, B. (2019). DGA analysis of transformer using artificial neutral network to improve reliability in power transformers [Conference presentation]. 2019 IEEE 4th International Conference on Condition Assessment Techniques in Electrical Systems (CATCON), Chennai, India. https://doi.org/ 10.1109/CATCON47128.2019.PID6178475

Piegar, J. S., ´Alvarez, R. E., and Catalano L. J. (2015). Herramienta de gestion y an ´ alisis para los ensayos DGA en ´ transformadores de potencia inmersos en aceite mineral [Conference presentation]. XVI Encuentro Regional Iberoamericano de CIGR´E, Puerto Iguazu, Argentina. ´ https://sedici.unlp.edu.ar/handle/10915/51477

Prasojo, R. A., Gumilang, H., Suwarno, Maulidevi, N. U., and Soedjarno, B. A. (2020). A fuzzy logic model for power transformer faults’ severity determination based on gas level, gas rate, and dissolved gas analysis interpretation. Energies, 13(4), 1009. https://doi.org/ 10.3390/en13041009

Rogers, R. R. (1978). IEEE and IEC codes to interpret incipient faults in transformers using gas in oil analysis. https:// doi.org/10.1109/TEI.1978.298141

Saravanan, D., Hasan, A., Singh, A., Mansoor, H., and Shaw, R. N. (2020). Fault prediction of transformer using machine learning and DGA [Conference presentation]. 2020 IEEE International Conference on Computing, Power and Communication Technologies (GUCON), Greater Noida, India. https://doi.org/10.1109/GUCON48875 .2020.9231086

Sardar, S., Kumar, A., Chatterjee, B., and Dalai, S. (2017). Application of statistical interpretation technique for frequency response analysis and detection of axial displacement in transformer winding [Conference presentation]. 2017 IEEE Calcutta Conference (CALCON), Kolkata, India. https://doi.org/10.1109/CALCON.2017.8280776

Sarria-Arias, J., Guerrero-Bello, N. and Rivas-Trujillo, E. (2014) Estado del arte del analisis de gases ´ disueltos en transformadores de potencia. Revista Facultad de Ingenier´ıa, 23(36), 105-122. https://doi.org/10 .19053/01211129.2716

Syafruddin, H., and Nugroho, H. P. (2020). Dissolved gas analysis (DGA) for diagnosis of fault in oil-immersed power transformers: A case study [Conference presentation]. 4rd International Conference on Electrical, Telecommunication and Computer Engineering (ELTICOM), Medan, Indonesia. https://doi.org/10.1109/ ELTICOM50775.2020.9230491

Torkaman, H., and Karimi, F. (2015). Measurement variations of insulation resistance/polarization index during utilizing time in HV electrical machines A survey. Measurement, 59, 21-29. https://doi.org/10.1016/ j.measurement.2014.09.034

Walpole, R. E., Myers, R. H., and Ye, K. (2017). Probability & statistics for engineers & scientists (9th ed.). Pearson editors

Wang, M., Vandermaar, A. J., and Srivastava, K. D. (2002). Review of condition assessment of power transformers in service. IEEE Electrical Insulation Magazine, 18(6), 12-25. https://doi.org/10.1109/MEI.2002.1161455

Wang, H. (2009). A novel extension method for transformer fault diagnosis. IEEE Transactions on Power Delivery, 18(1), 164-169. https://doi.org/10.1109/ TPWRD.2002.803838

Wannapring, E., Suwanasri, C., and Suwanasri, T. (2016). Dissolved gas analysis methods for distribution transformers [Conference presentation]. 13th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON), Chiang Mai, Thailand. https://doi.org/ 10.1109/ECTICon.2016.7561320