The University of Southampton
University of Southampton Institutional Repository

Improving detection sensitivity for partial discharge monitoring of high voltage equipment

Record type: Article

Partial discharge (PD) measurements are an important technique for assessing the health of power apparatus. Previous published research by the authors has shown that an electro-optic system can be used for PD measurement of oil-filled power transformers. A PD signal generated within an oil-filled power transformer may reach a winding and then travel along the winding to the bushing core bar. The bushing, acting like a capacitor, can transfer the high frequency components of the partial discharge signal to its earthed tap point. Therefore, an effective PD current measurement can be implemented at the bushing tap by using a radio frequency current transducer around the bushing-tap earth connection. In addition, the use of an optical transmission technique not only improves the electrical noise immunity and provides the possibility of remote measurement but also realizes electrical isolation and enhances safety for operators. However, the bushing core bar can act as an aerial and in addition noise induced by the electro-optic modulation system may influence overall measurement sensitivity. This paper reports on a machine learning technique, namely the use of a support vector machine (SVM), to improve the detection sensitivity of the system. Comparison between the signal extraction performances of a passive hardware filter and the SVM technique has been assessed. The results obtained from the laboratory-based experiment have been analysed and indicate that the SVM approach provides better performance than the passive hardware filter and it can reliably detect discharge signals with apparent charge greater than 30 pC

PDF mst8_5_055707.pdf - Other
Restricted to Registered users only
Download (2MB)

Citation

Hao, L., Lewin, P.L. and Swingler, S.G. (2008) Improving detection sensitivity for partial discharge monitoring of high voltage equipment Measurement Science and Technology, 19, (5), 055707:1-055707:10. (doi:10.1088/0957-0233/19/5/055707).

More information

Published date: 21 April 2008
Organisations: Electronics & Computer Science, EEE

Identifiers

Local EPrints ID: 265457
URI: http://eprints.soton.ac.uk/id/eprint/265457
ISSN: 0957-0233
PURE UUID: dadf2b60-a0fe-4514-9359-091b75cbd4c5

Catalogue record

Date deposited: 22 Apr 2008 09:28
Last modified: 18 Jul 2017 07:25

Export record

Altmetrics

Contributors

Author: L. Hao
Author: P.L. Lewin
Author: S.G. Swingler

University divisions


Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×