Localisation of partial discharge sources using radio fingerprinting technique

E. T. Iorkyase, Christos Tachtatzis, R. C. Atkinson, I. A. Glover

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

26 Citations (Scopus)


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: k-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.

Original languageEnglish
Title of host publication2015 Loughborough Antennas and Propagation Conference, LAPC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479989430
Publication statusPublished - 24 Dec 2015
EventLoughborough Antennas & Propagation Conference - Loughborough, United Kingdom
Duration: 2 Nov 20153 Nov 2015
https://communities.theiet.org/communities/events/item/21/39/9025 (Link to Conference Information)


ConferenceLoughborough Antennas & Propagation Conference
Abbreviated titleLAPC 2015
Country/TerritoryUnited Kingdom
Internet address


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