Shan, Q, Bhatti, S, Glover, Ian, Atkinson, R and Rutherford, R (2009) Detection of super-high-frequency partial discharge by using neural networks. Insight, 51 (8). pp. 442-447. ISSN 1354-2575Metadata only available from this repository.
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:||T Technology > T Technology (General)
T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
|Schools:||School of Computing and Engineering|
|Depositing User:||Sharon Beastall|
|Date Deposited:||21 Mar 2013 13:21|
|Last Modified:||21 Mar 2013 13:21|
Downloads per month over past year
Repository Staff Only: item control page