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Implementation of a novel online condition monitoring thermal prognostic indicator system

Implementation of a novel online condition monitoring thermal prognostic indicator system
Implementation of a novel online condition monitoring thermal prognostic indicator system
This research aims to develop a reliable and robust online condition monitoring thermal prognostic indicator system which will reduce the risk of failures in a Power System Network. Real-time measurements (weather conditions, temperature of the cable joints or terminations, loading demand) taken close to underground cable will update the prognostic simulation model. Anomalies of the measurements along the cable will be compared with the predicted ones hence indicating a possible degradation activity in the cable. The use of such systems within a power networks will provide a smarter way of prognostic condition monitoring in which you measure less and model more. The use of suggested thermal models will enable the power network operators to maximize asset utilization and minimize constraint costs in the system.
Christou, S.
aa6be8f1-94a8-469c-84b1-ac90fcbf4a46
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Pilgrim, J.A.
4b4f7933-1cd8-474f-bf69-39cefc376ab7
Swingler, S.G.
4f13fbb2-7d2e-480a-8687-acea6a4ed735
Christou, S.
aa6be8f1-94a8-469c-84b1-ac90fcbf4a46
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Pilgrim, J.A.
4b4f7933-1cd8-474f-bf69-39cefc376ab7
Swingler, S.G.
4f13fbb2-7d2e-480a-8687-acea6a4ed735

Christou, S., Lewin, P.L., Pilgrim, J.A. and Swingler, S.G. (2014) Implementation of a novel online condition monitoring thermal prognostic indicator system. HubNet Smart Grids Symposium 2014, United Kingdom. 09 - 10 Sep 2014.

Record type: Conference or Workshop Item (Poster)

Abstract

This research aims to develop a reliable and robust online condition monitoring thermal prognostic indicator system which will reduce the risk of failures in a Power System Network. Real-time measurements (weather conditions, temperature of the cable joints or terminations, loading demand) taken close to underground cable will update the prognostic simulation model. Anomalies of the measurements along the cable will be compared with the predicted ones hence indicating a possible degradation activity in the cable. The use of such systems within a power networks will provide a smarter way of prognostic condition monitoring in which you measure less and model more. The use of suggested thermal models will enable the power network operators to maximize asset utilization and minimize constraint costs in the system.

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More information

Published date: 9 September 2014
Venue - Dates: HubNet Smart Grids Symposium 2014, United Kingdom, 2014-09-09 - 2014-09-10
Organisations: EEE

Identifiers

Local EPrints ID: 368822
URI: http://eprints.soton.ac.uk/id/eprint/368822
PURE UUID: 5e956251-de86-41eb-83b2-afdfbbd22ac9
ORCID for J.A. Pilgrim: ORCID iD orcid.org/0000-0002-2444-2116

Catalogue record

Date deposited: 12 Sep 2014 15:02
Last modified: 06 Jun 2018 12:41

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