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

doi:10.1109/TDEI.2016.006002

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 journal › Article

49 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 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	https://doi.org/10.1109/TDEI.2016.006002
Publication status	Published - Mar 2017

Fingerprint

Keywords

PD pattern recognition
interference
HV cable diagnostics

Cite this

Peng, X., Wen, J., Li, Z., Yang, G., Zhou, C., Reid, A., Hepburn, D. M., Judd, M. D., & Siew, W. H. (2017). SDMF based interference rejection and PD interpretation for simulated defects in HV cable diagnostics. IEEE Transactions on Dielectrics and Electrical Insulation, 24(1), 83-91. https://doi.org/10.1109/TDEI.2016.006002

@article{a58111dcab8a4c498c839ce389dea22b,

title = "SDMF based interference rejection and PD interpretation for simulated defects in HV cable diagnostics",

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.",

keywords = "PD pattern recognition, interference, HV cable diagnostics",

author = "Xiaosheng Peng and Jinyu Wen and Zhaohui Li and Guangyao Yang and Chengke Zhou and Alistair Reid and Hepburn, {Donald M.} and Judd, {Martin D.} and W.H. Siew",

note = "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)",

year = "2017",

month = mar

doi = "10.1109/TDEI.2016.006002",

language = "English",

volume = "24",

pages = "83--91",

journal = "IEEE Transactions on Dielectrics and Electrical Insulation",

issn = "1070-9878",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "1",

}

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 -

Documents and Links

10.1109/TDEI.2016.006002

Peng, X. et al (2017) IEEE Transactions on Dielectrics and Electrical Insulation article
© 2017 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.
Accepted author manuscript, 1.19 MB