Towards Fault Diagnosis of Covered Conductors through Partial Discharge Classification using Antenna-based Frequency Domain Analysis
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27730%2F23%3A10253726" target="_blank" >RIV/61989100:27730/23:10253726 - isvavai.cz</a>
Alternative codes found
RIV/61989100:27240/23:10253726
Result on the web
<a href="https://ieeexplore.ieee.org/document/10149267" target="_blank" >https://ieeexplore.ieee.org/document/10149267</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/EPE58302.2023.10149267" target="_blank" >10.1109/EPE58302.2023.10149267</a>
Alternative languages
Result language
angličtina
Original language name
Towards Fault Diagnosis of Covered Conductors through Partial Discharge Classification using Antenna-based Frequency Domain Analysis
Original language description
In this study, we investigate the use of contactless partial discharge (PD) detection using an antenna-based frequency domain analysis to advance fault classification of covered conductors, which are susceptible to insulation failure due to PDs. First, we conducted experiments to test PDs on a model that simulated PDs on contact using electrodes - needle-needle, needle-sphere, and needle with corona with and without grounding of the antenna. The results showed that the frequency domain analysis can distinguish between different types of contacts. Second, experiments were performed on covered conductors with three types of contacts: copper band, needle, and wire. Statistical analysis revealed a statistically significant difference between the types of contacts in certain frequencies, suggesting the ability to accurately detect and diagnose PDs using the antenna and frequency analysis. The proposed method has the potential to enable detection of different types of fault in covered conductors. These findings open a way to use software-defined radio (SDR) for contactless PD detection in covered conductors, which could lead to more effective, significantly cheaper, and efficient maintenance and monitoring of electrical systems. Also this study highlights the potential of antenna-based frequency domain analysis for advancing classification type of faults in covered conductors.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20200 - Electrical engineering, Electronic engineering, Information engineering
Result continuities
Project
<a href="/en/project/TN02000025" target="_blank" >TN02000025: National Centre for Energy II</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2023
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proccedings of the 2023 23rd International Scientific Conference on Electric Power Engineering (EPE)
ISBN
979-8-3503-3594-1
ISSN
2376-5623
e-ISSN
2376-5631
Number of pages
5
Pages from-to
1-5
Publisher name
IEEE
Place of publication
Piscataway
Event location
Brno
Event date
May 24, 2023
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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