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 Judd, W. H. Siew

Research output: Contribution to journalArticlepeer-review

14 Citations (Scopus)
65 Downloads (Pure)


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 pages8
JournalIEEE Transactions on Dielectrics and Electrical Insulation
Issue number1
Publication statusPublished - 7 Mar 2017


  • partial discharge
  • cable system
  • signal identification
  • interference rejection
  • feature extraction
  • asset management
  • ethylene-propylene rubber
  • synchronous detection
  • multi-information fusion
  • pattern recognition


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