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A feature based method for partial discharge source classification

A feature based method for partial discharge source classification
A feature based method for partial discharge source classification
This paper describes a method for processing PD data captured using a wide bandwidth non-conventional PD sensor such as a radio frequency current transducer (RFCT). The method allows the discrimination between PD signals from multiple PD sources captured by the single sensor. Fundamentally the discrimination is based on the assumption that PD events from the same source will have very similar signatures in terms of time and frequency information whereas there are measurable differences in the signatures of two PD signals from different sources. To visualize this, it is possible to use a dimension reduction technique such that the features of each signal are represented as a single point in three-dimensional space. This process creates clusters of similar signals that can then be analyzed separately as a subset of the original captured data. This approach has been used to analyze PD signal data captured using RFCTs placed around the earth connections of 11 kV three phase belted cables in the UK and Cyprus. Obtained results are analyzed and presented in this paper.
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Petrov, L.A.
0092a7ad-69b6-4321-9adb-5242bf21f6e7
Hao, L
e6006548-3fc1-4a7e-9df4-a4e9a9a05c45
Lewin, P.L.
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Petrov, L.A.
0092a7ad-69b6-4321-9adb-5242bf21f6e7
Hao, L
e6006548-3fc1-4a7e-9df4-a4e9a9a05c45

Lewin, P.L., Petrov, L.A. and Hao, L (2012) A feature based method for partial discharge source classification. 2012 IEEE International Symposium on Electrical Insulation (ISEI 2012), San Juan, Puerto Rico. 10 - 13 Jun 2012. 6 pp .

Record type: Conference or Workshop Item (Paper)

Abstract

This paper describes a method for processing PD data captured using a wide bandwidth non-conventional PD sensor such as a radio frequency current transducer (RFCT). The method allows the discrimination between PD signals from multiple PD sources captured by the single sensor. Fundamentally the discrimination is based on the assumption that PD events from the same source will have very similar signatures in terms of time and frequency information whereas there are measurable differences in the signatures of two PD signals from different sources. To visualize this, it is possible to use a dimension reduction technique such that the features of each signal are represented as a single point in three-dimensional space. This process creates clusters of similar signals that can then be analyzed separately as a subset of the original captured data. This approach has been used to analyze PD signal data captured using RFCTs placed around the earth connections of 11 kV three phase belted cables in the UK and Cyprus. Obtained results are analyzed and presented in this paper.

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e-pub ahead of print date: 12 June 2012
Published date: 12 June 2012
Venue - Dates: 2012 IEEE International Symposium on Electrical Insulation (ISEI 2012), San Juan, Puerto Rico, 2012-06-10 - 2012-06-13
Organisations: EEE

Identifiers

Local EPrints ID: 340716
URI: http://eprints.soton.ac.uk/id/eprint/340716
PURE UUID: 9d292204-2775-4429-b0e1-5dfc1dd8197d
ORCID for P.L. Lewin: ORCID iD orcid.org/0000-0002-3299-2556

Catalogue record

Date deposited: 04 Jul 2012 12:40
Last modified: 15 Mar 2024 02:43

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Contributors

Author: P.L. Lewin ORCID iD
Author: L.A. Petrov
Author: L Hao

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