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Abdullabekova, D. R., & Qutbidinov, O. M. (2024). Hybrid fuzzy–Bayesian model for transformer health index assessment. Energy Systems and Informatics Journal, 2024
Abu-Siada, A., & Islam, S. (2012). A novel online technique for transformer oil condition monitoring based on physicochemical analysis. IEEE Transactions on Dielectrics and Electrical Insulation, 19(2), 583–591
CIGRE Working Group A2.62. (2022). Transformer life management techniques. 2022
Deng, J., Chen, W., & Zhou, X. (2021). Data-driven simulation of transformer insulation aging based on oil quality indicators. Electric Power Systems Research, 194, Article 107088
Dubois, D., & Prade, H. (2020). Fuzzy sets and systems: Theory and applications in engineering. Springer
Fofana, I. (2011). Fifty years in the development of insulating liquids. IEEE Electrical Insulation Magazine, 27(1), 55–64
Gao, Y., Zhang, P., & Li, S. (2022). Simulation-based health index modeling of power transformers using oil condition indicators. Energies, 15(9), Article 3321, 1–18
Ghoneim, S. S. M., & Taha, I. B. M. (2018). Transformer condition assessment using fuzzy logic based on oil analysis results. Electric Power Components and Systems, 46(3), 321–333
Hassan, M., & Abu-Siada, A. (2016). Impact of oil acidity on transformer insulation aging: Experimental and modeling studies. IEEE Electrical Insulation Magazine, 32(6), 7–15
Hossain, M., Rahman, M. A., Islam, S., & Abu-Siada, A. (2023). Transformer health assessment using fuzzy logic and expert systems: A comprehensive review. IEEE Transactions on Power Delivery, 38(4), 2110–2123
IEEE. (2019). IEEE C57.104-2019: Guide for the interpretation of gases generated in oil- immersed transformers. IEEE Standards Association
IEC. (2013). IEC 60422: Mineral insulating oils in electrical equipment—Supervision and maintenance guidance. International Electrotechnical Commission
Khan, U. A., & Refaat, S. S. (2020). A simulation-based approach for transformer condition assessment using oil degradation indicators. Energies, 13(18), Article 4872б 1–16
Kumar, S., & Singh, R. (2017). Assessment of transformer health index using physicochemical characteristics of insulating oil. International Journal of Electrical Power & Energy Systems, 92, 178–186
Li, J., Zhang, Y., & Yang, L. (2016). Simulation modeling of transformer insulation aging based on oil acidity and moisture content. IET Generation, Transmission & Distribution, 10(12), 2951–2958
Liu, Q., Wang, Z., & Krause, C. (2015). Aging assessment of transformer oil-paper insulation systems using physicochemical parameters. IEEE Transactions on Dielectrics and Electrical Insulation, 22(1), 209–218
MathWorks. (2023). MATLAB fuzzy logic toolbox user’s guide. MathWorks Inc
Morsalin, S., & Phung, B. T. (2018). Diagnostic methods for power transformers based on physicochemical oil analysis: A review. Electric Power Systems Research, 163, 101–112
Patel, R., & Singh, B. (2022). Optimization of membership functions for condition monitoring of power transformers. Electric Power Systems Research, 212, Article 108529
Pradhan, M. K., & Ramu, T. S. (2005). Estimation of moisture in oil-paper insulation using dielectric response methods. IEEE Transactions on Power Delivery, 20(3), 1984–1992
Rahman, M. A., & Islam, S. (2014). Condition monitoring of power transformers through oil analysis and thermal modeling. IEEE Transactions on Power Delivery, 29(3), 1096–1104
Saha, T. K. (2003). Review of modern diagnostic techniques for assessing insulation condition in aged transformers. IEEE Transactions on Dielectrics and Electrical Insulation, 10(5), 903–917
Shaban, K. B., El-Hag, A. H., & Benhmed, K. (2016). Prediction of transformer oil parameters using arti�icial neural networks. IEEE Transactions on Dielectrics and Electrical Insulation, 23(6), 3678– 3686
Tenbohlen, S., & Koch, M. (2008). Aging performance and moisture solubility of mineral oil- based transformer insulating liquids. IEEE Transactions on Power Delivery, 23(2), 825–830
Wang, M., Vandermaar, A. J., & Srivastava, K. D. (2002). Review of condition assessment of power transformers in service. IEEE Electrical Insulation Magazine, 18(6), 12–25
Zadeh, L. A. (2019). From computing with numbers to computing with words—and back. IEEE Transactions on Fuzzy Systems, 27(6), 1085–1098
Zhang, X., Wang, Z., & Liu, Y. (2019). Condition evaluation of autotransformers using oil quality parameters and data-driven models. IEEE Access, 7, 143210–143220