Remote monitoring of partial discharge data from insulated power cables
Peer Mohamed, Faisal and Siew, Wah Hoon and Soraghan, John and Strachan, Scott and McWilliam, Jamie (2014) Remote monitoring of partial discharge data from insulated power cables. IET Science, Measurement and Technology, 8 (5). pp. 319-326. (https://doi.org/10.1049/iet-smt.2013.0162)
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Partial discharge (PD) diagnostics is one of the most widely used tool to assess the insulation condition of insulated power cables and which facilitates informed maintenance planning leading to the extension of the service life of such ageing assets. PD occurs with varying intensity due to circuit loading and weather conditions. Proven systems based on off-line PD diagnostics find limited application, since this method requires a circuit outage. In this study, remote controlled PC based PD monitoring system using client server technology is proposed. Continuous monitoring of cable network using the proposed system can capture sudden or gradual changes in PD activity which is often difficult in conventional PD monitoring systems which are based on spot measurement. In this system, the remote control capability using internet has been implemented to reduce the frequency of site visits which in turn reduces the cost of manpower. Relational database management system is used as a back-end server for data storage, data analysis and data management. This would help the utility to maintain insulation integrity history database which can be used for cable renewal program in the longer term. System design, testing, implementation and field measurements are discussed.
ORCID iDs
Peer Mohamed, Faisal, Siew, Wah Hoon ORCID: https://orcid.org/0000-0003-4000-6856, Soraghan, John ORCID: https://orcid.org/0000-0003-4418-7391, Strachan, Scott ORCID: https://orcid.org/0000-0002-2690-496X and McWilliam, Jamie;-
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Item type: Article ID code: 48680 Dates: DateEventSeptember 2014Published2 April 2014Published Online28 February 2014AcceptedSubjects: Technology > Electrical engineering. Electronics Nuclear engineering Department: Faculty of Engineering > Electronic and Electrical Engineering
Technology and Innovation Centre > Sensors and Asset ManagementDepositing user: Pure Administrator Date deposited: 19 Jun 2014 13:36 Last modified: 20 Nov 2024 01:10 Related URLs: URI: https://strathprints.strath.ac.uk/id/eprint/48680