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Prognostic indication of power cable degradation

Prognostic indication of power cable degradation
Prognostic indication of power cable degradation
The reliability and the health performance of network assets are of a great interest due to power network operators. This project investigates methods of developing a prognostic capability for evaluating the health and long term performance of ageing distribution cable circuits. From the instant of installation and operation, the insulating materials of a cable will begin to age as a result of a combination of mechanical, thermal and electrical factors. Development of simulation models can significantly improve the accuracy of prognostics, allowing the targeting of maintenance and reduction of in service failures [1]. Real-time measurements taken close to underground cables can update the simulation models giving a more accurate prognostic model.
Currently the project investigates a thermal prognostic simulation model which will predict the likely temperature impact on a cable at burial depth according to weather conditions and known loading. Anomalies of temperature measurements along the cable compared to predicted temperatures will indicate a possible degradation activity in a cable. An experimental surface trough has been set up where operation of power cables is simulated with a control system which is able to model any cable loading. The surface temperature of the cable is continuously monitored as well as the weather conditions such as solar radiation, soil moisture content, wind speed, humidity, rainfall and air-temperature
Christou, S.
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Lewin, P.L.
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Pilgrim, J.A.
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Swingler, S.G.
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Christou, S.
aa6be8f1-94a8-469c-84b1-ac90fcbf4a46
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Pilgrim, J.A.
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Swingler, S.G.
4f13fbb2-7d2e-480a-8687-acea6a4ed735

Christou, S., Lewin, P.L., Pilgrim, J.A. and Swingler, S.G. (2013) Prognostic indication of power cable degradation. 6th UHVnet Colloquium – High Voltage Technologies and Metrology, Glasgow, United Kingdom. 16 - 17 Jan 2013.

Record type: Conference or Workshop Item (Poster)

Abstract

The reliability and the health performance of network assets are of a great interest due to power network operators. This project investigates methods of developing a prognostic capability for evaluating the health and long term performance of ageing distribution cable circuits. From the instant of installation and operation, the insulating materials of a cable will begin to age as a result of a combination of mechanical, thermal and electrical factors. Development of simulation models can significantly improve the accuracy of prognostics, allowing the targeting of maintenance and reduction of in service failures [1]. Real-time measurements taken close to underground cables can update the simulation models giving a more accurate prognostic model.
Currently the project investigates a thermal prognostic simulation model which will predict the likely temperature impact on a cable at burial depth according to weather conditions and known loading. Anomalies of temperature measurements along the cable compared to predicted temperatures will indicate a possible degradation activity in a cable. An experimental surface trough has been set up where operation of power cables is simulated with a control system which is able to model any cable loading. The surface temperature of the cable is continuously monitored as well as the weather conditions such as solar radiation, soil moisture content, wind speed, humidity, rainfall and air-temperature

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More information

Published date: 16 January 2013
Venue - Dates: 6th UHVnet Colloquium – High Voltage Technologies and Metrology, Glasgow, United Kingdom, 2013-01-16 - 2013-01-17
Organisations: EEE

Identifiers

Local EPrints ID: 347542
URI: http://eprints.soton.ac.uk/id/eprint/347542
PURE UUID: 8d441c70-547d-4000-aac3-61d18d237edd
ORCID for P.L. Lewin: ORCID iD orcid.org/0000-0002-3299-2556
ORCID for J.A. Pilgrim: ORCID iD orcid.org/0000-0002-2444-2116

Catalogue record

Date deposited: 24 Jan 2013 10:19
Last modified: 15 Mar 2024 03:25

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Contributors

Author: S. Christou
Author: P.L. Lewin ORCID iD
Author: J.A. Pilgrim ORCID iD
Author: S.G. Swingler

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