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 …

Machine learning for fault diagnosis of high-speed train traction systems: A review

H Wang, YF Li, J Ren - Frontiers of Engineering Management, 2024 - Springer
High-speed trains (HSTs) have the advantages of comfort, efficiency, and convenience and
have gradually become the mainstream means of transportation. As the operating scale of …

Transformer winding faults detection based on time series analysis

AR Abbasi, MR Mahmoudi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Monitoring of winding faults is of great significance for the assessment of the transformer
maintenance status. In this study, the time series analysis is combined with frequency …

Hierarchical federated learning for power transformer fault diagnosis

J Lin, J Ma, J Zhu - IEEE Transactions on Instrumentation and …, 2022 - ieeexplore.ieee.org
Accurate diagnosis of power transformer fault type is critical to maintaining its safe and
stable operation. Existing methods require a large number of labeled data and are …

Application of statistical control charts to discriminate transformer winding defects

AR Abbasi, MR Mahmoudi - Electric Power Systems Research, 2021 - Elsevier
A common problem in power transformers is the winding defect which is caused by a variety
of internal and external conditions. It is necessary to detect and rectify the winding defect as …

Investigation on machine learning algorithms to support transformer dissolved gas analysis fault identification

Ekojono, RA Prasojo, ME Apriyani, AN Rahmanto - Electrical Engineering, 2022 - Springer
Dissolved gas analysis (DGA) is a powerful tool to monitor the condition of a power
transformer. Several interpretation methods have been proposed, one of the most reliable of …

Fault diagnosis of transformer windings based on decision tree and fully connected neural network

ZH Li, Y Zhang, A Abu-Siada, X Chen, Z Li, Y Xu… - Energies, 2021 - mdpi.com
While frequency response analysis (FRA) is a well matured technique widely used by
current industry practice to detect the mechanical integrity of power transformers …

Clustering of transformer condition using frequency response analysis based on k-means and GOA

M Bigdeli, A Abu-Siada - Electric Power Systems Research, 2022 - Elsevier
Frequency response analysis (FRA) is considered as the most popular and reliable method
to detect mechanical deformations within power transformers. Despite this popularity …

Detection of probability of occurrence, type and severity of faults in transformer using frequency response analysis based numerical indices

M Bigdeli, D Azizian, GB Gharehpetian - Measurement, 2021 - Elsevier
Frequency response analysis (FRA) is mainly used as a tool for detecting mechanical faults
(especially displacement and deformation of windings and core) as well as electrical faults …

A fuzzy logic model for power transformer faults' severity determination based on gas level, gas rate, and dissolved gas analysis interpretation

RA Prasojo, H Gumilang, Suwarno, NU Maulidevi… - Energies, 2020 - mdpi.com
In determining the severity of power transformer faults, several approaches have been
previously proposed; however, most published studies do not accommodate gas level, gas …