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Degradation assessment of in‐service aerial bundled cables in coastal areas leading to prognosis using infrared thermography

Authors :
Moez ul Hassan
Tariq Mairaj Khan
Sumayya Abbas
Muhammad Atayyab Shahid
Syed Talha Tariq
Faisal Amir
Source :
IET Generation, Transmission & Distribution, Vol 15, Iss 8, Pp 1348-1356 (2021)
Publication Year :
2021
Publisher :
Wiley, 2021.

Abstract

Abstract Of late, cross‐linked polyethylene insulated aerial bundled cables have replaced conventional copper conductors being resistant to electricity pilferage, offer lower maintenance costs and reduced power losses. However, in coastal areas, aerial bundled cables experience frequent insulation breakdown causing sudden cable failures leading to unexpected power shutdowns. Condition monitoring, employing sophisticated diagnostic techniques, has thus become a major requirement of the energy sector. The reported research work utilizes infrared thermography as one such candidate NDT technique. A novel framework is proposed to investigate the progressive shift in the statistical parameters of the temperature distribution in aerial bundled cables’ insulation, as it degrades over time. The cumulative distribution function of pixel intensity data from a healthy/ operational aerial bundled cable is first compared with a reported failed aerial bundled cable. A prominent difference in 0.9 cumulative distribution function values is observed in the temperature distributions. Therefore, 0.9 cumulative distribution function values are used for degradation quantification with respect to ageing. Degradation rates are then computed using periodically acquired thermographic data from operational aerial bundled cables, installed at two different locations in a coastal region, each subjected to different marine climate. The proposed technique proved effective in degradation rate assessment of insulation of operational aerial bundled cables. Consequently, the results achieved can also be utilized for remaining useful life prediction of these cables.

Details

Language :
English
ISSN :
17518695 and 17518687
Volume :
15
Issue :
8
Database :
Directory of Open Access Journals
Journal :
IET Generation, Transmission & Distribution
Publication Type :
Academic Journal
Accession number :
edsdoj.058f94d8b29742d5a814955bc45a82f5
Document Type :
article
Full Text :
https://doi.org/10.1049/gtd2.12106