Extraction of impulsive noise from measurements in a 400kV electricity substation

Q. Shan; S.A. Bhatti; I.A. Glover; R.C. Atkinson; I. Portugues; P.J. Moore; R. Rutherford

Extraction of impulsive noise from measurements in a 400kV electricity substation

Q. Shan, S.A. Bhatti, I.A. Glover, R.C. Atkinson, I. Portugues, P.J. Moore, R. Rutherford

Electronic And Electrical Engineering

Research output: Contribution to conference › Paper › peer-review

Abstract

This work forms part of a larger project to investigate the vulnerability of wireless local area network (WLAN) and wireless personal area network (WPAN) technologies to impulsive noise in electricity substations. An algorithm has been developed to extract impulsive noise from measurements of the microwave noise environment in a substation. The algorithm, based on wavelet packet transformation, is described and its utility to extract impulsive noise time series demonstrated.

Original language	English
Pages	135-139
Number of pages	4
Publication status	Published - Feb 2009
Event	International Conference on Energy And Environment - India Duration: 19 Mar 2009 → 21 Mar 2009

Conference

Conference	International Conference on Energy And Environment
City	India
Period	19/03/09 → 21/03/09

Keywords

de-noising
electricity substation
impulsive noise
wavelet packet

Cite this

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title = "Extraction of impulsive noise from measurements in a 400kV electricity substation",

abstract = "This work forms part of a larger project to investigate the vulnerability of wireless local area network (WLAN) and wireless personal area network (WPAN) technologies to impulsive noise in electricity substations. An algorithm has been developed to extract impulsive noise from measurements of the microwave noise environment in a substation. The algorithm, based on wavelet packet transformation, is described and its utility to extract impulsive noise time series demonstrated.",

keywords = "de-noising, electricity substation, impulsive noise, wavelet packet",

author = "Q. Shan and S.A. Bhatti and I.A. Glover and R.C. Atkinson and I. Portugues and P.J. Moore and R. Rutherford",

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note = "International Conference on Energy And Environment ; Conference date: 19-03-2009 Through 21-03-2009",

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T1 - Extraction of impulsive noise from measurements in a 400kV electricity substation

AU - Shan, Q.

AU - Bhatti, S.A.

AU - Glover, I.A.

AU - Atkinson, R.C.

AU - Portugues, I.

AU - Moore, P.J.

AU - Rutherford, R.

PY - 2009/2

Y1 - 2009/2

N2 - This work forms part of a larger project to investigate the vulnerability of wireless local area network (WLAN) and wireless personal area network (WPAN) technologies to impulsive noise in electricity substations. An algorithm has been developed to extract impulsive noise from measurements of the microwave noise environment in a substation. The algorithm, based on wavelet packet transformation, is described and its utility to extract impulsive noise time series demonstrated.

AB - This work forms part of a larger project to investigate the vulnerability of wireless local area network (WLAN) and wireless personal area network (WPAN) technologies to impulsive noise in electricity substations. An algorithm has been developed to extract impulsive noise from measurements of the microwave noise environment in a substation. The algorithm, based on wavelet packet transformation, is described and its utility to extract impulsive noise time series demonstrated.

KW - de-noising

KW - electricity substation

KW - impulsive noise

KW - wavelet packet

UR - http://portal.acm.org/citation.cfm?id=1576351

M3 - Paper

SP - 135

EP - 139

T2 - International Conference on Energy And Environment

Y2 - 19 March 2009 through 21 March 2009

ER -

Extraction of impulsive noise from measurements in a 400kV electricity substation

Abstract

Conference

Keywords

Other files and links

Fingerprint

Vulnerability of Wireless Network Technology to Impulsive Noise in Electricity Transmission Substations

Cite this

Extraction of impulsive noise from measurements in a 400kV electricity substation

Abstract

Conference

Keywords

Other files and links

Fingerprint

Projects

Vulnerability of Wireless Network Technology to Impulsive Noise in Electricity Transmission Substations

Cite this