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Review of UHF-Based Signal Processing Approaches for Partial Discharge Detection

  • Benjamin SchubertEmail author
  • Mauro Palo
  • Thomas Schlechter
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10672)

Abstract

Partial Discharge (PD) events are due to local defects in dielectrics and can cause damages to the electrical insulation and eventually to the whole power station. This paper reviews approaches describing procedures and numerical techniques for detecting, denoising, clustering, and classifying PDs in the ultra-high frequency range. For each method the mathematical background is recalled and one or few representative examples from selected papers are shortly described.

Keywords

Partial Discharge (PD) Ultra-high frequency Signal processing Data analysis 

Notes

Acknowledgment

This work was funded by the State Grid Corporation of China (SGCC) through the R&D project “Research of Key Technology of UHF Wireless Sensing based Substation Partial Discharge Monitoring and Location”.

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Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Benjamin Schubert
    • 1
    Email author
  • Mauro Palo
    • 1
  • Thomas Schlechter
    • 1
  1. 1.Global Energy Interconnection Research Institute Europe GmbHBerlinGermany

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