Abstract
| Original language | English |
|---|---|
| Pages (from-to) | 83-91 |
| Number of pages | 9 |
| Journal | IEEE Transactions on Dielectrics and Electrical Insulation |
| Volume | 24 |
| Issue number | 1 |
| Early online date | 7 Mar 2017 |
| DOIs | |
| Publication status | Published - Mar 2017 |
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Keywords
- PD pattern recognition
- interference
- HV cable diagnostics
Cite this
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SDMF based interference rejection and PD interpretation for simulated defects in HV cable diagnostics. / Peng, Xiaosheng; Wen, Jinyu; Li, Zhaohui; Yang, Guangyao; Zhou, Chengke; Reid, Alistair; Hepburn, Donald M.; Judd, Martin D.; Siew, W.H.
In: IEEE Transactions on Dielectrics and Electrical Insulation, Vol. 24, No. 1, 03.2017, p. 83-91.Research output: Contribution to journal › Article
TY - JOUR
T1 - SDMF based interference rejection and PD interpretation for simulated defects in HV cable diagnostics
AU - Peng, Xiaosheng
AU - Wen, Jinyu
AU - Li, Zhaohui
AU - Yang, Guangyao
AU - Zhou, Chengke
AU - Reid, Alistair
AU - Hepburn, Donald M.
AU - Judd, Martin D.
AU - Siew, W.H.
N1 - Requested acceptance date + AAM 21-3-17 Contacted CZ as AR has left GCU CZ provided acceptance email and AAM 3-4-17 ET Duplicate record created 3-4-17 by CZ (24771678)
PY - 2017/3
Y1 - 2017/3
N2 - 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.
AB - 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.
KW - PD pattern recognition
KW - interference
KW - HV cable diagnostics
U2 - 10.1109/TDEI.2016.006002
DO - 10.1109/TDEI.2016.006002
M3 - Article
VL - 24
SP - 83
EP - 91
JO - IEEE Transactions on Dielectrics and Electrical Insulation
JF - IEEE Transactions on Dielectrics and Electrical Insulation
SN - 1070-9878
IS - 1
ER -