Frequency response analysis (FRA) of transformers as a tool for fault detection and location: A review

RK Senobari, J Sadeh, H Borsi - Electric power systems research, 2018 - Elsevier
Power transformers are one of the most important components of the electrical power
networks. A wide range of mechanical and electrical stresses in addition to the aging could …

Classification and discrimination among winding mechanical defects, internal and external electrical faults, and inrush current of transformer

S Bagheri, Z Moravej… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, the mechanical faults of transformers including the winding radial deformation
and axial displacement on 1.6 MVA transformer winding are investigated. Then, by …

Towards automated statistical partial discharge source classification using pattern recognition techniques

H Janani, B Kordi - High Voltage, 2018 - Wiley Online Library
This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

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 …

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 …

Novel calculation method of indices to improve classification of transformer winding fault type, location, and extent

H Tarimoradi, GB Gharehpetian - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
In this paper, disk space variation, radial deformation, short circuit, and axial displacement
as four common transformer winding faults, in different locations and with various extents …

Statistical approach for interpretation of power transformers frequency response analysis results

V Behjat, M Mahvi - IET Science, Measurement & Technology, 2015 - Wiley Online Library
In spite of many research efforts on fault diagnosis using frequency response analysis (FRA)
method, there is still no universally accepted and systematic interpretation technique for …

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 …

Transformer fault type discrimination based on window calculation method and frequency response analysis

A Vosoughi, MH Samimi - Measurement, 2022 - Elsevier
Frequency response analysis (FRA), one of the methods for the diagnosis of transformer
mechanical faults, is improving quickly to result in easier fault detection. Recently, the …