Abstract
| Language | English |
|---|---|
| DOIs | |
| Publication status | Published - 19 Aug 2017 |
| Event | General Assembly and Scientific Symposium of the International Union of Radio Science - Montreal, Canada Duration: 19 Aug 2017 → 26 Aug 2017 Conference number: XXXII |
Conference
| Conference | General Assembly and Scientific Symposium of the International Union of Radio Science |
|---|---|
| Abbreviated title | URSI GASS |
| Country | Canada |
| City | Montreal |
| Period | 19/08/17 → 26/08/17 |
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Keywords
- partial discharge
- PD
- high voltage applications
- wireless sensor networks
- radiometric detection
Cite this
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Wireless sensor network for radiometric detection and assessment of partial discharge in HV equipment. / Upton, D. W.; Saeed, B. I.; Khan, U.; Jaber, A.; Mohamed, H.; Mistry, K.; Mather, P. J.; Lazaridis, P.; Vieira, M. F. Q.; Atkinson, R.; Tachtatzis, C.; Iorkyase, E.; Judd, M.; Glover, I. A.
2017. Paper presented at General Assembly and Scientific Symposium of the International Union of Radio Science, Montreal, Canada.Research output: Contribution to conference › Paper
TY - CONF
T1 - Wireless sensor network for radiometric detection and assessment of partial discharge in HV equipment
AU - Upton, D. W.
AU - Saeed, B. I.
AU - Khan, U.
AU - Jaber, A.
AU - Mohamed, H.
AU - Mistry, K.
AU - Mather, P. J.
AU - Lazaridis, P.
AU - Vieira, M. F. Q.
AU - Atkinson, R.
AU - Tachtatzis, C.
AU - Iorkyase, E.
AU - Judd, M.
AU - Glover, I. A.
N1 - © 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
PY - 2017/8/19
Y1 - 2017/8/19
N2 - 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 low-cost 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.
AB - 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 low-cost 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.
KW - partial discharge
KW - PD
KW - high voltage applications
KW - wireless sensor networks
KW - radiometric detection
U2 - 10.23919/URSIGASS.2017.8104973
DO - 10.23919/URSIGASS.2017.8104973
M3 - Paper
ER -