Machine learning based multi-method interpretation to enhance dissolved gas analysis for power transformer fault diagnosis
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Elsevier BV
Reference51 articles.
1. CIGRE 761, Condition Assessment of Power Transformers,2019
2. IEEE Guide for the Interpretation of Gases Generated in Mineral Oil-Immersed Transformers,2019
3. Improved consistent interpretation approach of Fault Type within power transformers using dissolved gas analysis and Gene expression programming;Abu-Siada;Energies,2019
4. A new approach of DGA interpretation technique for transformer fault diagnosis;Ghoneim;Int. J. Electr. Power Energy Syst.,2016
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2. Optimal Harnessing Machine Learning for Monitoring and Predictive Maintenance in Electrical Transformers;2024 4th Interdisciplinary Conference on Electrics and Computer (INTCEC);2024-06-11
3. Research on transformer fault diagnosis based on optimized HDBO-SVM;2024 3rd International Conference on Energy, Power and Electrical Technology (ICEPET);2024-05-17
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