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Enhancing Predictive Maintenance of Power Transformers Through Machine Learning Approaches
Learning and Nonlinear ModelsThis paper focuses on the use of machine learning algorithms to assist in predictive maintenance, aiming to reduce downtime and associated costs for electrical equipment. It introduces two machine learning predictive indicators: the Chromatographic Assay
Carla Pacheco +9 more
semanticscholar +1 more source
2017 International Conference on Modern Electrical and Energy Systems (MEES), 2017
A. Stavinskii +3 more
semanticscholar +1 more source
A. Stavinskii +3 more
semanticscholar +1 more source
2017 International Conference on Modern Electrical and Energy Systems (MEES), 2017
A. Stavinskiy +3 more
semanticscholar +1 more source
A. Stavinskiy +3 more
semanticscholar +1 more source
Research on Magnetic Controlled Transformers with Different Structures
2024 6th Asia Energy and Electrical Engineering Symposium (AEEES)As societal progress and advancements in productivity continue to unfold, the cable utilization of China's urban power distribution networks has progressively increased. The cable utilization rates in first and second-tier cities have surpassed 80%, with
Yijian Li +7 more
semanticscholar +1 more source
Integrative oncology: Addressing the global challenges of cancer prevention and treatment
Ca-A Cancer Journal for Clinicians, 2022Jun J Mao,, Msce +2 more
exaly
IEEE Transactions on Power Delivery, 1986
S. Calabro, F. Coppadoro, S. Crepaz
semanticscholar +1 more source
S. Calabro, F. Coppadoro, S. Crepaz
semanticscholar +1 more source

