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

Qingshan Shan; Shahzad Ahmed Bhatti; Ian A. Glover; Robert Atkinson; Richard Rutherford

doi:10.1784/insi.2009.51.8.442

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

Qingshan Shan, Shahzad Ahmed Bhatti, Ian A. Glover, Robert Atkinson, Richard Rutherford

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

2 Citations (Scopus)

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: Non-Destructive Testing and Condition Monitoring
Volume	51
Issue number	8
DOIs	https://doi.org/10.1784/insi.2009.51.8.442
Publication status	Published - 1 Aug 2009
Externally published	Yes

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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 = "Neural network, Partial discharge, Super high frequency, TEM horn",

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

AU - Shan, Qingshan

AU - Bhatti, Shahzad Ahmed

AU - Glover, Ian A.

AU - Atkinson, Robert

AU - Rutherford, Richard

PY - 2009/8/1

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

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