Wireless Sensor Network for Radiometric Detection and Assessment of Partial Discharge in HV Equipment

David Upton, Bahghtar Saeed, Umar Khan, Adel Jaber, Hamd Mohamed, Keyur Mistry, Peter Mather, Pavlos Lazaridis, M. F. Queiroz Vieira, Robert Atkinson, Christos Tachtatzis, E. T. Iorkyase, Martin Judd, Ian Glover

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Monitoring of partial discharge (PD) activity within high voltage electrical environments is frequently used for the assessment of insulation condition. Traditional measurement techniques employ technologies that require either offline installation or high power consumption and cost. A wireless sensor network is proposed that utilizes only received signal strength to locate partial discharge within a high-voltage electricity substation. The network comprises low-power and lowcost radiometric sensor nodes which receive the radiation propagated from a source of partial discharge. Results are reported from a test performed within a large indoor environment with a network of nine sensor nodes. An emulated PD source was placed at multiple locations within the network. Signal strength measured by the nodes is reported via WirelessHART to a data collection hub where it is processed using a location algorithm. The results obtained place the measured location within 2 m of the actual source location.
Original languageEnglish
Title of host publication2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9789082598704
ISBN (Print)9781509044696
DOIs
Publication statusPublished - 13 Nov 2017
EventXXXIInd International Union of Radio Science General Assembly & Scientific Symposium - Montreal Convention Center, Montreal, United Kingdom
Duration: 19 Aug 201726 Aug 2017
Conference number: 32
http://www.ursi2017.org/welcome_e.shtml (Link to Symposium Website)

Conference

ConferenceXXXIInd International Union of Radio Science General Assembly & Scientific Symposium
Abbreviated titleURSI GASS 2017
CountryUnited Kingdom
CityMontreal
Period19/08/1726/08/17
Internet address

Fingerprint Dive into the research topics of 'Wireless Sensor Network for Radiometric Detection and Assessment of Partial Discharge in HV Equipment'. Together they form a unique fingerprint.

  • Cite this

    Upton, D., Saeed, B., Khan, U., Jaber, A., Mohamed, H., Mistry, K., ... Glover, I. (2017). Wireless Sensor Network for Radiometric Detection and Assessment of Partial Discharge in HV Equipment. In 2017 XXXIInd General Assembly and Scientific Symposium of the International Union of Radio Science (URSI GASS) Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/URSIGASS.2017.8104973