Next Article in Journal
CFD Modelling and Analysis for Green Environment of Traditional Buildings
Previous Article in Journal
A Comparison of Thermal Insulation with Interstitial Condensation in Different Climate Contexts in Existing Buildings in Europe
 
 
Search for Articles:
Title / Keyword
Author / Affiliation / Email
Journal
Article Type
 
 
Advanced Search
 
Section
Special Issue
Volume
Issue
Number
Page
 
Journals
Energies
Volume 16
Issue 4
10.3390/en16041978
energies-logo
Submit to this Journal Review for this Journal Propose a Special Issue
► Article Menu

Article Menu

share Share announcement Help format_quote Cite question_answer Discuss in SciProfiles
first_page
settings
Order Article Reprints
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Radiometric Partial Discharge Detection: A Review

by
Sinda Kaziz
1,2,*,
Mohamed Hadj Said
3,
Antonino Imburgia
2,
Bilel Maamer
1,3,
Denis Flandre
4,
Pietro Romano
2 and
Fares Tounsi
4,*
1
Faculté des Sciences de Monastir, Université de Monastir, Monastir 5019, Tunisia
2
L.E.PR.E. H.V. Laboratory, Department of Engineering, University of Palermo, 90128 Palermo, Italy
3
Centre de Recherche en Microélectronique et Nanotechnologie (CRMN), Sousse 4050, Tunisia
4
SMALL Group, ICTEAM Institute, UCLouvain, 1348 Louvain-la-Neuve, Belgium
*
Authors to whom correspondence should be addressed.
Energies 2023, 16(4), 1978; https://doi.org/10.3390/en16041978
Submission received: 25 December 2022 / Revised: 3 February 2023 / Accepted: 13 February 2023 / Published: 16 February 2023
(This article belongs to the Special Issue Condition Monitoring of HVDC Power Network Equipment)
Browse Figures
Versions Notes

Abstract

One of the most common failures or breakdowns that can occur in high-voltage (HV) equipment is due to partial discharges (PDs). This occurs as a result of inadequate insulation, aging, harsh environmental effects, or manufacturing flaws. PD detection and recognition methods have gained growing attention and have seen great progress in the past decades. Radiometric methods are one of the most investigated detection approaches due to their immunity to electromagnetic interference (EMI) and their capabilities to detect and locate PD activities in different applications such as transformers, cables, etc. Several review articles have been published to classify and categorize these works. Nonetheless, some concepts are missing, and some improvement techniques, such as PD detection at high-frequency (HF) and very high-frequency (VHF), have been overlooked. We present in this paper an exhaustive review study of state-of-the-art PD detection based on radiometric methods at different usable radiofrequency bands (i.e., HF, VHF, and UHF). Accordingly, we propose a new generic categorization approach based on the detected electromagnetic wave component (magnetic or electric fields) and pick-up location, either from free space or ground cable.
Keywords: partial discharge detection; HV equipment diagnosis; radiometric detection; inductive sensors; UHF antennas; loop antennas; printed antennas partial discharge detection; HV equipment diagnosis; radiometric detection; inductive sensors; UHF antennas; loop antennas; printed antennas

Share and Cite

MDPI and ACS Style

Kaziz, S.; Said, M.H.; Imburgia, A.; Maamer, B.; Flandre, D.; Romano, P.; Tounsi, F. Radiometric Partial Discharge Detection: A Review. Energies 2023, 16, 1978. https://doi.org/10.3390/en16041978

AMA Style

Kaziz S, Said MH, Imburgia A, Maamer B, Flandre D, Romano P, Tounsi F. Radiometric Partial Discharge Detection: A Review. Energies. 2023; 16(4):1978. https://doi.org/10.3390/en16041978

Chicago/Turabian Style

Kaziz, Sinda, Mohamed Hadj Said, Antonino Imburgia, Bilel Maamer, Denis Flandre, Pietro Romano, and Fares Tounsi. 2023. "Radiometric Partial Discharge Detection: A Review" Energies 16, no. 4: 1978. https://doi.org/10.3390/en16041978

APA Style

Kaziz, S., Said, M. H., Imburgia, A., Maamer, B., Flandre, D., Romano, P., & Tounsi, F. (2023). Radiometric Partial Discharge Detection: A Review. Energies, 16(4), 1978. https://doi.org/10.3390/en16041978

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop