Partial discharge detection using low cost RTL-SDR model for wideband spectrum sensing

H. Mohamed, P. Lazaridis, D. Upton, U. Khan, B. Saeed, A. Jaber, Y. Zhang, P. Mather, M. F. Q. Vieira, K. W. Barlee, D. S. W. Atkinson, I. A. Glover

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

584 Downloads (Pure)

Abstract

Partial discharge (PD) is one of the predominant factors to be controlled to ensure reliability and undisrupted function of power generators, motors, Gas Insulated Switchgear (GIS) and grid connected power distribution equipment, especially in the future smart grid. The emergence of wireless technology has provided numerous opportunities to optimize remote monitoring and control facilities that can play a significant role in ensuring swift control and restoration of HV plant equipment. In order to monitor PD, several approaches have been employed, however, the existing schemes do not provide an optimal approach for PD signal analysis, and are very costly. In this paper an RTL-SDR (Software Defined Radio) based spectrum analyzer has been proposed in order to provide a potentially low-cost solution for PD detection and monitoring. Initially, a portable spectrum analyzer has been used for PD detection that was later replaced by an RTL-SDR device. The proposed schemes exhibit promising results for spectral detection within the VHF and UHF bands.
Original languageEnglish
Title of host publicationInternational Conference on Telecommunications
Place of PublicationGreece
PublisherIEEE
Number of pages5
Publication statusAccepted/In press - 13 Mar 2016
Event23rd International Conference on Telecommunications (ICT2016) - Alexander Technological Educational Institute of Thessaloniki , Thessaloniki , Greece
Duration: 16 May 201618 May 2016

Conference

Conference23rd International Conference on Telecommunications (ICT2016)
CountryGreece
CityThessaloniki
Period16/05/1618/05/16

Keywords

  • RTL-SDR
  • MATLAB
  • SDR
  • spectrum analyzer
  • partial discharge (PD)

Fingerprint Dive into the research topics of 'Partial discharge detection using low cost RTL-SDR model for wideband spectrum sensing'. Together they form a unique fingerprint.

Cite this