Picture of automobile manufacturing plant

Driving innovations in manufacturing: Open Access research from DMEM

Strathprints makes available Open Access scholarly outputs by Strathclyde's Department of Design, Manufacture & Engineering Management (DMEM).

Centred on the vision of 'Delivering Total Engineering', DMEM is a centre for excellence in the processes, systems and technologies needed to support and enable engineering from concept to remanufacture. From user-centred design to sustainable design, from manufacturing operations to remanufacturing, from advanced materials research to systems engineering.

Explore Open Access research by DMEM...

Radiometric wireless sensor network monitoring of partial discharge sources in electrical substations

Zhang, Yong and Upton, David and Jaber, Adel and Ahmed, Hamd and Saeed, Bahghtar and Mather, Peter and Lazaridis, Pavlos and Mopty, Alexandre and Tachtatzis, Christos and Atkinson, Robert and Judd, Martin and Vieira, Maria Fatima Queiroz and Glover, Ian (2015) Radiometric wireless sensor network monitoring of partial discharge sources in electrical substations. International Journal of Distributed Sensor Networks, 2015. ISSN 1550-1329

[img]
Preview
Text (Zhang-etal-IJDSN-2015-Radiometric-wireless-sensor-network-monitoring-of-partial-discharge-sources)
Zhang_etal_IJDSN_2015_Radiometric_wireless_sensor_network_monitoring_of_partial_discharge_sources.pdf - Accepted Author Manuscript

Download (10MB) | Preview

Abstract

A Wireless Sensor Network (WSN) with the potential to monitor and locate partial discharge (PD) in high-voltage electricity substations using only received signal strength (RSS) is proposed. The advantages of an RSS-based operating principle over more traditional methods (e.g. Time-of-Arrival and Time-Difference-of-Arrival) are described. Laboratory measurements of PD that emulate the operation of a PD WSN are presented. The hardware architecture of a prototype PD WSN is described and the particular challenge of an RSS-based location approach in an environment with an unknown, and spatially varying, path-loss index are discussed. It is concluded that an RSS-based PD WSN is a plausible solution for the monitoring of insulation integrity in electricity substations.