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- Title
Detection of super-high-frequency partial discharge by using neural networks.
- Authors
Shan, Q; Bhatti, S; Glover, I A; Atkinson, R; Rutherford, R
- 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).
- Subjects
RADIO frequency discharges; ARTIFICIAL neural networks; OSCILLOSCOPES; ELECTRIC substations; ETHERNET; RADIO frequency; DETECTORS
- Publication
Insight: Non-Destructive Testing & Condition Monitoring, 2009, Vol 51, Issue 8, p442
- ISSN
1354-2575
- Publication type
Article
- DOI
10.1784/insi.2009.51.8.442