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 …

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 …

Turn-to-turn short circuit fault localization in transformer winding via image processing and deep learning method

A Moradzadeh, H Moayyed… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Frequency response analysis (FRA) suffers from the interpretation of results despite its
potential ability to detect faults related to the power transformer windings. This article …

Theoretical study of dissolved gas molecules in transformer oil adsorbed on intrinsic and Cr-doped InP3 monolayer

Y Liao, Q Zhou, W Hou, J Li, W Zeng - Applied Surface Science, 2021 - Elsevier
Transition metal doping plays a significant role to regulate the electronic properties of the
material substrates. In this paper, the effect of Cr dopant on InP 3 monolayer and its …

A novel hyperbolic fuzzy entropy measure for discrimination and taxonomy of transformer winding faults

AR Abbasi, CP Gandhi - IEEE Transactions on Instrumentation …, 2022 - ieeexplore.ieee.org
During operation, power transformers are subjected to a variety of electrical and mechanical
stresses, which can result in winding faults. The most common defects in transformers are …

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 …

Intelligent classifiers in distinguishing transformer faults using frequency response analysis

M Bigdeli, P Siano, HH Alhelou - IEEE Access, 2021 - ieeexplore.ieee.org
With the expansion of the use of frequency response analysis (FRA) as a reliable tool for
fault detection in transformers, more capabilities of this method are discovered every day. So …

Sensitivity analysis of different components of transfer function for detection and classification of type, location and extent of transformer faults

H Tarimoradi, H Karami, GB Gharehpetian… - Measurement, 2022 - Elsevier
Frequency response analysis is one of the best methods to diagnose mechanical defects in
the power transformer winding. In this paper, sensitivity analysis of four components of the …

Generalized regression neural network application for fault type detection in distribution transformer windings considering statistical indices

R Behkam, H Karami, M Salay Naderi… - … journal for computation …, 2022 - emerald.com
Purpose This study aims to use frequency response analysis, a powerful tool to detect the
location and types of transformer winding faults. Proposing an effective intelligent approach …

Mechanical Fault Types Detection in Transformer Windings Using‎ Interpretation of Frequency Responses via Multilayer Perceptron

R Behkam, A Moradzadeh, H Karami… - Journal of Operation …, 2023 - joape.uma.ac.ir
The Frequency Response Analysis (FRA) technique has advantages in identifying faults
related to power transformers, but it suffers from the interpretation of frequency responses …