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Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results

Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results
Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results
Partial discharge measurements taken online are severely corrupted by noise due to external disturbances. In this paper a powerful noise reduction technique, based on a wavelet packet denoising algorithm, is employed to isolate the signals from the noise. This methodology enables the denoising of partial discharges that are heavily corrupted by noise without assuming any a priori knowledge about the partial discharge features. A brief description of the wavelet packet theory as an extension of the multi-resolution analysis is given. Results of the application of this algorithm to simulated data of low signal-to-noise ratio are presented, demonstrating substantial improvement in signal recovery with minimum shape distortion. Finally, the capability of this technique is highlighted by applying it to experimental field data taken from three-phase 11 kV cables.
0957-0233
2367-2379
Kyprianou, A
3ce6d975-3c30-4a93-9d08-59fa5dc00c36
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Efthymiou, V
ed0d632d-ebe4-45d9-9a05-96516f8d56ff
Stavrou, A
88f5bae6-fb3e-4c97-8acc-6a19508e8807
Georghiou, G E
c3e9a8c7-a175-4d3c-aa20-e851d441c30d
Kyprianou, A
3ce6d975-3c30-4a93-9d08-59fa5dc00c36
Lewin, P L
78b4fc49-1cb3-4db9-ba90-3ae70c0f639e
Efthymiou, V
ed0d632d-ebe4-45d9-9a05-96516f8d56ff
Stavrou, A
88f5bae6-fb3e-4c97-8acc-6a19508e8807
Georghiou, G E
c3e9a8c7-a175-4d3c-aa20-e851d441c30d

Kyprianou, A, Lewin, P L, Efthymiou, V, Stavrou, A and Georghiou, G E (2006) Wavelet packet denoising for online partial discharge detection in cables and its application to experimental field results. Measurement Science and Technology, 17 (9), 2367-2379.

Record type: Article

Abstract

Partial discharge measurements taken online are severely corrupted by noise due to external disturbances. In this paper a powerful noise reduction technique, based on a wavelet packet denoising algorithm, is employed to isolate the signals from the noise. This methodology enables the denoising of partial discharges that are heavily corrupted by noise without assuming any a priori knowledge about the partial discharge features. A brief description of the wavelet packet theory as an extension of the multi-resolution analysis is given. Results of the application of this algorithm to simulated data of low signal-to-noise ratio are presented, demonstrating substantial improvement in signal recovery with minimum shape distortion. Finally, the capability of this technique is highlighted by applying it to experimental field data taken from three-phase 11 kV cables.

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Published date: September 2006
Organisations: Electronics & Computer Science, EEE

Identifiers

Local EPrints ID: 262866
URI: http://eprints.soton.ac.uk/id/eprint/262866
ISSN: 0957-0233
PURE UUID: 3b219feb-d540-41f0-8cce-8d3eb2992412

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Date deposited: 25 Jul 2006
Last modified: 20 Nov 2021 07:09

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Contributors

Author: A Kyprianou
Author: P L Lewin
Author: V Efthymiou
Author: A Stavrou
Author: G E Georghiou

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