Detection of partial discharge sources using UHF sensors and blind signal separation Articles uri icon

publication date

  • November 2017

start page

  • 1

end page

  • 13

issue

  • 11 (2625)

volume

  • 17

international standard serial number (ISSN)

  • 1424-8220

abstract

  • The measurement of the emitted electromagnetic energy in the UHF region of the spectrum allows the detection of partial discharges and, thus, the on-line monitoring of the condition of the insulation of electrical equipment. Unfortunately, determining the affected asset is difficult when there are several simultaneous insulation defects. This paper proposes the use of an independent component analysis (ICA) algorithm to separate the signals coming from different partial discharge (PD) sources. The performance of the algorithm has been tested using UHF signals generated by test objects. The results are validated by two automatic classification techniques: support vector machines and similarity with class mean. Both methods corroborate the suitability of the algorithm to separate the signals emitted by each PD source even when they are generated by the same type of insulation defect.

keywords

  • Blind source separation
    Electric insulation
    Partial discharges
    UHF detection