A Novel Expertise-Guided Machine Learning Model for Internal Fault State Diagnosis of Power Transformers
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Cited by:
- Guillermo Santamaria-Bonfil & Gustavo Arroyo-Figueroa & Miguel A. Zuniga-Garcia & Carlos Gustavo Azcarraga Ramos & Ali Bassam, 2023. "Power Transformer Fault Detection: A Comparison of Standard Machine Learning and autoML Approaches," Energies, MDPI, vol. 17(1), pages 1-22, December.
- Yanzheng Liu & Chenhao Sun & Xin Yang & Zhiwei Jia & Jianhong Su & Zhijie Guo, 2024. "A Transformer Heavy Overload Spatiotemporal Distribution Prediction Ensemble under Imbalanced and Nonlinear Data Scenarios," Sustainability, MDPI, vol. 16(8), pages 1-20, April.
- Pedro J. Zarco-Periñán & José L. Martínez-Ramos & Fco. Javier Zarco-Soto, 2021. "On the Remuneration to Electrical Utilities and Budgetary Allocation for Substation Maintenance Management," Sustainability, MDPI, vol. 13(18), pages 1-15, September.
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Keywords
Expertise-Guided Machine Learning model; fault diagnosis; power transformer; genetic algorithm; mind evolutionary algorithm; robustness test;All these keywords.
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