Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges

This paper serves as a comprehensive “starter pack” for electrical diagnostic methods for power transformers. It offers a thorough review of electrical diagnostic techniques, detailing the required instrumentation and highlighting key research directions. The methods discussed include frequency resp...

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Main Authors: Peter Mwinisin, Alessandro Mingotti, Lorenzo Peretto, Roberto Tinarelli, Mattewos Tefferi
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Sensors
Subjects:
Online Access:https://www.mdpi.com/1424-8220/25/7/1968
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author Peter Mwinisin
Alessandro Mingotti
Lorenzo Peretto
Roberto Tinarelli
Mattewos Tefferi
author_facet Peter Mwinisin
Alessandro Mingotti
Lorenzo Peretto
Roberto Tinarelli
Mattewos Tefferi
author_sort Peter Mwinisin
collection DOAJ
description This paper serves as a comprehensive “starter pack” for electrical diagnostic methods for power transformers. It offers a thorough review of electrical diagnostic techniques, detailing the required instrumentation and highlighting key research directions. The methods discussed include frequency response analysis, partial discharge testing, dielectric dissipation factor (tan delta), direct current (DC) insulation resistance, polarization index, transformer turns ratio test, recovery voltage measurement, polarization–depolarization currents, frequency domain spectroscopy, breakdown voltage testing, and power factor and capacitance testing. Additionally, the paper brings attention to less-explored electrical diagnostic techniques from the past decade. For each method, the underlying principles, applications, necessary instrumentation, advantages, and limitations are carefully examined, alongside emerging trends in the field. A notable shift observed over the past decade is the growing emphasis on hybrid diagnostic approaches and artificial intelligence (AI)-driven data analytics for fault detection. This study serves as a structured reference for researchers—particularly those in the early stages of their careers—as well as industry professionals seeking to explore electrical diagnostic techniques for power transformer condition assessment. It also outlines promising research avenues, contributing to the ongoing evolution of transformer diagnostics.
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issn 1424-8220
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spelling doaj-art-3539cbf13e174a6e94b61207f3a6244f2025-08-20T02:15:46ZengMDPI AGSensors1424-82202025-03-01257196810.3390/s25071968Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research ChallengesPeter Mwinisin0Alessandro Mingotti1Lorenzo Peretto2Roberto Tinarelli3Mattewos Tefferi4Department of Electrical, Electronic, and Information Engineering (DEI), University of Bologna, 40136 Bologna, ItalyDepartment of Electrical, Electronic, and Information Engineering (DEI), University of Bologna, 40136 Bologna, ItalyDepartment of Electrical, Electronic, and Information Engineering (DEI), University of Bologna, 40136 Bologna, ItalyDepartment of Electrical, Electronic, and Information Engineering (DEI), University of Bologna, 40136 Bologna, ItalyG&W Electric Co., Bolingbrook, IL 60440, USAThis paper serves as a comprehensive “starter pack” for electrical diagnostic methods for power transformers. It offers a thorough review of electrical diagnostic techniques, detailing the required instrumentation and highlighting key research directions. The methods discussed include frequency response analysis, partial discharge testing, dielectric dissipation factor (tan delta), direct current (DC) insulation resistance, polarization index, transformer turns ratio test, recovery voltage measurement, polarization–depolarization currents, frequency domain spectroscopy, breakdown voltage testing, and power factor and capacitance testing. Additionally, the paper brings attention to less-explored electrical diagnostic techniques from the past decade. For each method, the underlying principles, applications, necessary instrumentation, advantages, and limitations are carefully examined, alongside emerging trends in the field. A notable shift observed over the past decade is the growing emphasis on hybrid diagnostic approaches and artificial intelligence (AI)-driven data analytics for fault detection. This study serves as a structured reference for researchers—particularly those in the early stages of their careers—as well as industry professionals seeking to explore electrical diagnostic techniques for power transformer condition assessment. It also outlines promising research avenues, contributing to the ongoing evolution of transformer diagnostics.https://www.mdpi.com/1424-8220/25/7/1968electrical diagnosticscondition monitoringpower transformerinstrumentationpartial discharge measurementfrequency response analysis (FRA)
spellingShingle Peter Mwinisin
Alessandro Mingotti
Lorenzo Peretto
Roberto Tinarelli
Mattewos Tefferi
Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges
Sensors
electrical diagnostics
condition monitoring
power transformer
instrumentation
partial discharge measurement
frequency response analysis (FRA)
title Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges
title_full Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges
title_fullStr Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges
title_full_unstemmed Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges
title_short Electrical Diagnosis Techniques for Power Transformers: A Comprehensive Review of Methods, Instrumentation, and Research Challenges
title_sort electrical diagnosis techniques for power transformers a comprehensive review of methods instrumentation and research challenges
topic electrical diagnostics
condition monitoring
power transformer
instrumentation
partial discharge measurement
frequency response analysis (FRA)
url https://www.mdpi.com/1424-8220/25/7/1968
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AT alessandromingotti electricaldiagnosistechniquesforpowertransformersacomprehensivereviewofmethodsinstrumentationandresearchchallenges
AT lorenzoperetto electricaldiagnosistechniquesforpowertransformersacomprehensivereviewofmethodsinstrumentationandresearchchallenges
AT robertotinarelli electricaldiagnosistechniquesforpowertransformersacomprehensivereviewofmethodsinstrumentationandresearchchallenges
AT mattewostefferi electricaldiagnosistechniquesforpowertransformersacomprehensivereviewofmethodsinstrumentationandresearchchallenges