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 …

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) …

An energy and leakage current monitoring system for abnormality detection in electrical appliances

MM Alam, M Shahjalal, MH Rahman, H Nurcahyanto… - Scientific Reports, 2022 - nature.com
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 …

[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 …

Discrimination of inrush current and internal faults incorporating the MRA and BIGRU techniques in power transformers

R Afsharisefat, M Jannati, M Shams - Electric Power Systems Research, 2023 - Elsevier
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 …

Toward smarter power transformers in microgrids: A multi-agent reinforcement learning for diagnostic

O Laayati, N El-Bazi, HE Hadraoui… - … conference on digital …, 2023 - Springer
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 …

A new classification scheme based on extended Kalman filter and support vector machine

Y Simhamed, F Ykhlef, A Iratni - Electric Power Systems Research, 2022 - Elsevier
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 …

[HTML][HTML] A novel infrared thermography image analysis for transformer condition monitoring

R Balabantaraya, AK Sahoo, PK Sahoo, CM Abir… - e-Prime-Advances in …, 2024 - Elsevier
Electrical systems are deeply ingrained in most industrial facilities, their maintenance is
increasingly becoming a critical and significant component of economic policy. Condition …

A fuzzy logic proposal for diagnosis multiple incipient faults in a power transformer

JC Fernández, LB Corrales, FH Hernández… - … Workshop on Artificial …, 2021 - Springer
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 …