SDMF based interference rejection and PD interpretation for simulated defects in HV cable diagnostics

Xiaosheng Peng, Jinyu Wen, Zhaohui Li, Guangyao Yang, Chengke Zhou, Alistair Reid, Donald M. Hepburn, Martin D. Judd, W.H. Siew

Research output: Contribution to journalArticlepeer-review

17 Citations (Scopus)
170 Downloads (Pure)

Abstract

Partial Discharge (PD) in cable systems causes deterioration and failure, identifying the presence of PD is crucial to Asset Management. This paper presents methods for interference signals rejection and for PD interpretation for five types of artificial defect in 11 kV ethylene-propylene rubber (EPR) cable. Firstly, the physical parameters of the artificial defects used for PD signal generation are introduced. Thereafter, the sample stress regime, PD testing and detection systems, including IEC 60270 measurement system and High Frequency Current Transformer (HFCT), are outlined. Following on, a novel Synchronous Detection and Multi-information Fusion (SDMF) based signal identification method is developed, to separate PD and interference signals within raw data. Finally, a comparative PD analysis of two detection systems is carried out and several characteristics of insulation related PD signals of EPR cables are reported. The SDMF based data pre-processing and the comparative PD activity analysis contribute to improvement of PD pattern recognition and assist in on-line PD monitoring systems.
Original languageEnglish
Pages (from-to)83-91
Number of pages9
JournalIEEE Transactions on Dielectrics and Electrical Insulation
Volume24
Issue number1
DOIs
Publication statusPublished - Feb 2017

Keywords

  • Partial discharge
  • cable system
  • feature extraction
  • interference rejection
  • signal identification

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

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