The University of Southampton
University of Southampton Institutional Repository

The use of three dimensional filters for on-line partial discharge localisation in large transformers

The use of three dimensional filters for on-line partial discharge localisation in large transformers
The use of three dimensional filters for on-line partial discharge localisation in large transformers
Partial discharge (PD) activity develops in high voltage transformers due to ageing processes in the insulation system which are totally unavoidable. Moreover, operational overstressing and defects introduced during manufacture can also cause the existence of PD activity. The presence of this activity needs to be identified and treated, otherwise it will lead to further ageing and degradation processes until eventually there may be catastrophic failure. Previous reported work by the authors used Wavelet Transforms and Principal Component Analysis (PCA) separately in order to develop an approach for PD localisation within a transformer winding which is more suitable for implementation in an off-line mode. In this paper a new technique has been developed for on-line application using filters designed based on wavelet functions in the frequency domain and PCA loading coefficients. The combination of wavelet and PCA produces a unique frequency spectrum for the three dimensional filters. A transfer function of corresponding frequency spectrum can be obtained using estimation based on an IIR filter approximation. This paper reports on election of filter order and its influence on PD source localisation. Ultimately, this study can be used to determine the optimum selection of the three dimensional filters for a given discharging transformer that will facilitate on-line localisation of the PD source.
978-1-4799-2788-3
10-14
Abd Rahman, M S
8217f865-63cf-4fa4-9f2b-19589bbdb2f0
Rapisarda, P
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Abd Rahman, M S
8217f865-63cf-4fa4-9f2b-19589bbdb2f0
Rapisarda, P
79efc3b0-a7c6-4ca7-a7f8-de5770a4281b
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e

Abd Rahman, M S, Rapisarda, P and Lewin, P L (2014) The use of three dimensional filters for on-line partial discharge localisation in large transformers. 2014 IEEE Electrical Insulation Conference, United States. 08 - 11 Jun 2014. pp. 10-14 .

Record type: Conference or Workshop Item (Paper)

Abstract

Partial discharge (PD) activity develops in high voltage transformers due to ageing processes in the insulation system which are totally unavoidable. Moreover, operational overstressing and defects introduced during manufacture can also cause the existence of PD activity. The presence of this activity needs to be identified and treated, otherwise it will lead to further ageing and degradation processes until eventually there may be catastrophic failure. Previous reported work by the authors used Wavelet Transforms and Principal Component Analysis (PCA) separately in order to develop an approach for PD localisation within a transformer winding which is more suitable for implementation in an off-line mode. In this paper a new technique has been developed for on-line application using filters designed based on wavelet functions in the frequency domain and PCA loading coefficients. The combination of wavelet and PCA produces a unique frequency spectrum for the three dimensional filters. A transfer function of corresponding frequency spectrum can be obtained using estimation based on an IIR filter approximation. This paper reports on election of filter order and its influence on PD source localisation. Ultimately, this study can be used to determine the optimum selection of the three dimensional filters for a given discharging transformer that will facilitate on-line localisation of the PD source.

Text
003.pdf - Version of Record
Restricted to Registered users only
Download (291kB)
Request a copy

More information

Published date: 8 June 2014
Venue - Dates: 2014 IEEE Electrical Insulation Conference, United States, 2014-06-08 - 2014-06-11
Organisations: EEE

Identifiers

Local EPrints ID: 366607
URI: http://eprints.soton.ac.uk/id/eprint/366607
ISBN: 978-1-4799-2788-3
PURE UUID: a48da8d6-e9c1-43d0-a830-c93f1832a19a

Catalogue record

Date deposited: 03 Jul 2014 13:16
Last modified: 16 Dec 2019 20:24

Export record

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.

×