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Fault detection and diagnosis in power transformers: a comprehensive review and classification of publications and methods
AR Abbasi - Electric Power Systems Research, 2022 - Elsevier
A challenging problem in the protection of power transformers is the fault detection and
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …
diagnosis (FDD). FDD has an essential role in the reliability and safety of modern power …
Incipient fault diagnosis in power transformers by data-driven models with over-sampled dataset
SM de Andrade Lopes, RA Flauzino… - Electric Power Systems …, 2021 - Elsevier
Early diagnosis of incipient faults in power transformers enables their predictive
maintenance and guarantees their proper operation. Recently, machine learning (ML) …
maintenance and guarantees their proper operation. Recently, machine learning (ML) …
[HTML][HTML] An AI-Layered with Multi-Agent Systems Architecture for Prognostics Health Management of Smart Transformers: A Novel Approach for Smart Grid-Ready …
After the massive integration of distributed energy resources, energy storage systems and
the charging stations of electric vehicles, it has become very difficult to implement an efficient …
the charging stations of electric vehicles, it has become very difficult to implement an efficient …
An energy and leakage current monitoring system for abnormality detection in electrical appliances
Unsafe electrical appliances can be hazardous to humans and can cause electrical fires if
not monitored, analyzed, and controlled. The purpose of this study is to monitor the system's …
not monitored, analyzed, and controlled. The purpose of this study is to monitor the system's …
[HTML][HTML] Power Transformer Prognostics and Health Management Using Machine Learning: A Review and Future Directions
R Zemouri - Machines, 2025 - mdpi.com
Power transformers (PTs) play a vital role in the electrical power system. Assessing their
health to predict their remaining useful life is essential to optimise maintenance. Scheduling …
health to predict their remaining useful life is essential to optimise maintenance. Scheduling …
Discrimination of inrush current and internal faults incorporating the MRA and BIGRU techniques in power transformers
Power transformer protection performs an essential role in power systems, ensuring a
reliable power supply to the customers. One of the main challenges in differential protection …
reliable power supply to the customers. One of the main challenges in differential protection …
Toward smarter power transformers in microgrids: A multi-agent reinforcement learning for diagnostic
Power transformers are a vital component in microgrids, as they play a crucial role in energy
transformation, transmission, and distribution. With the ongoing digital transition in the …
transformation, transmission, and distribution. With the ongoing digital transition in the …
A new classification scheme based on extended Kalman filter and support vector machine
In the field of power quality monitoring, due to the extensive quantity of measurements data,
it is preferred that the detection, identification and classification of Power Quality …
it is preferred that the detection, identification and classification of Power Quality …
[HTML][HTML] A novel infrared thermography image analysis for transformer condition monitoring
Electrical systems are deeply ingrained in most industrial facilities, their maintenance is
increasingly becoming a critical and significant component of economic policy. Condition …
increasingly becoming a critical and significant component of economic policy. Condition …
A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer
For the safety and continuity of service in industrial electrical systems, the availability of
transformers is essential. For this reason, it is necessary to develop intelligent fault diagnosis …
transformers is essential. For this reason, it is necessary to develop intelligent fault diagnosis …