Iorkyase, E. T., Tachtatzis, C., Atkinson, R. C. and Glover, Ian (2015) Localisation of partial discharge sources using radio fingerprinting technique. In: Loughborough Antennas & Propagation Conference, 2nd - 3rd November 2015, Loughborough, UK.Metadata only available from this repository.
Partial discharge (PD) is a well-known
indicator of the failure of insulators in electrical plant. Operators are pushing toward lower operating cost and higher reliability and this stimulates a demand for a diagnostic system capable of accurately locating PD sources especially in ageing electricity substations. Existing techniques used for PD source localisation can be prohibitively expensive. In this paper, a cost-effective radio fingerprinting technique is proposed. This technique uses the Received Signal Strength (RSS) extracted from PD measurements gathered using RF sensors. The proposed technique models the complex spatial characteristics of the radio environment, and uses this model for accurate PD localisation. Two models were developed and compared: nearest neighbour and a feed-forward neural network which uses regression as a form of function approximation. The results demonstrate that the neural network produced superior performance as a result of its robustness against noise.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||T Technology > TK Electrical engineering. Electronics Nuclear engineering|
|Schools:||School of Computing and Engineering > Systems Engineering Research Group
School of Computing and Engineering
|Depositing User:||Ian Glover|
|Date Deposited:||29 Feb 2016 15:50|
|Last Modified:||02 Feb 2017 09:16|
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