Detection of super-high-frequency partial discharge by using neural networks

Q. Shan; S. Bhatti; I.A. Glover; R. Atkinson; R. Rutherford

doi:10.1784/insi.2009.51.8.442

Detection of super-high-frequency partial discharge by using neural networks

Q. Shan, S. Bhatti, I.A. Glover, R. Atkinson, R. Rutherford

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

2 Citations (Scopus)

18 Downloads (Pure)

Abstract

A system has been developed for the detection of super-high-frequency (SHF) partial discharge (PD) at frequencies up to 6 GHz. The system consists of three antennas for capturing PDs and a fast digital oscilloscope for sampling data. One of the antennas is a disk-cone antenna with frequency range below 710 MHz. The other two half TEM horn antennas have been designed and constructed for the frequency range 716 MHz - 5 GHz. To extend the frequency range up to 6 GHz, a methodology has been developed by compensating amplitude-response to frequency-magnitude. The compensation is realised by using multilayer feed-forward neural networks to equalise on amplitude-response. A direct sampling method is used to log the captured PD data. This PD detection system has been implemented to measure PDs at a 400 kV electrical substation (Strathaven, Scottish Power Ltd).

Original language	English
Pages (from-to)	442-447
Number of pages	6
Journal	Insight: The Journal of the British Institute of Non-Destructive Testing
Volume	51
Issue number	8
DOIs	https://doi.org/10.1784/insi.2009.51.8.442
Publication status	Published - 1 Aug 2009

Keywords

partial discharge
TEM horn
neural network
super high frequency

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10.1784/insi.2009.51.8.442

Shan-etal-Insight-2009-Detection-of-super-high-frequency-partial-discharge-by-using-neural-networksAccepted author manuscript, 2.32 MBLicence: CC BY-NC 4.0

Vulnerability of Wireless Network Technology to Impulsive Noise in Electricity Transmission Substations
Glover, I. (Principal Investigator) & Moore, P. (Co-investigator)
EPSRC (Engineering and Physical Sciences Research Council)
1/09/06 → 30/06/09
Project: Research

Cite this

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title = "Detection of super-high-frequency partial discharge by using neural networks",

abstract = "A system has been developed for the detection of super-high-frequency (SHF) partial discharge (PD) at frequencies up to 6 GHz. The system consists of three antennas for capturing PDs and a fast digital oscilloscope for sampling data. One of the antennas is a disk-cone antenna with frequency range below 710 MHz. The other two half TEM horn antennas have been designed and constructed for the frequency range 716 MHz - 5 GHz. To extend the frequency range up to 6 GHz, a methodology has been developed by compensating amplitude-response to frequency-magnitude. The compensation is realised by using multilayer feed-forward neural networks to equalise on amplitude-response. A direct sampling method is used to log the captured PD data. This PD detection system has been implemented to measure PDs at a 400 kV electrical substation (Strathaven, Scottish Power Ltd).",

keywords = "partial discharge, TEM horn, neural network, super high frequency",

author = "Q. Shan and S. Bhatti and I.A. Glover and R. Atkinson and R. Rutherford",

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T1 - Detection of super-high-frequency partial discharge by using neural networks

AU - Shan, Q.

AU - Bhatti, S.

AU - Glover, I.A.

AU - Atkinson, R.

AU - Rutherford, R.

PY - 2009/8/1

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N2 - A system has been developed for the detection of super-high-frequency (SHF) partial discharge (PD) at frequencies up to 6 GHz. The system consists of three antennas for capturing PDs and a fast digital oscilloscope for sampling data. One of the antennas is a disk-cone antenna with frequency range below 710 MHz. The other two half TEM horn antennas have been designed and constructed for the frequency range 716 MHz - 5 GHz. To extend the frequency range up to 6 GHz, a methodology has been developed by compensating amplitude-response to frequency-magnitude. The compensation is realised by using multilayer feed-forward neural networks to equalise on amplitude-response. A direct sampling method is used to log the captured PD data. This PD detection system has been implemented to measure PDs at a 400 kV electrical substation (Strathaven, Scottish Power Ltd).

AB - A system has been developed for the detection of super-high-frequency (SHF) partial discharge (PD) at frequencies up to 6 GHz. The system consists of three antennas for capturing PDs and a fast digital oscilloscope for sampling data. One of the antennas is a disk-cone antenna with frequency range below 710 MHz. The other two half TEM horn antennas have been designed and constructed for the frequency range 716 MHz - 5 GHz. To extend the frequency range up to 6 GHz, a methodology has been developed by compensating amplitude-response to frequency-magnitude. The compensation is realised by using multilayer feed-forward neural networks to equalise on amplitude-response. A direct sampling method is used to log the captured PD data. This PD detection system has been implemented to measure PDs at a 400 kV electrical substation (Strathaven, Scottish Power Ltd).

KW - partial discharge

KW - TEM horn

KW - neural network

KW - super high frequency

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IS - 8

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Detection of super-high-frequency partial discharge by using neural networks

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Keywords

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Projects

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

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