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

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 Judd, W. H. Siew

Electronic And Electrical Engineering

Research output: Contribution to journal › Article › peer-review

12 Citations (Scopus)

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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	8
Journal	IEEE Transactions on Dielectrics and Electrical Insulation
Volume	24
Issue number	1
DOIs	https://doi.org/10.1109/TDEI.2016.006002
Publication status	Published - 7 Mar 2017

Keywords

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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10.1109/TDEI.2016.006002

Peng-etal-TDEI2016-SDMF-based-interference-Accepted author manuscript, 0.99 MB

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@article{52f0208b0f9a4123b28bf46041b6e068,

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

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

note = "(c) 2016 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.",

year = "2017",

month = mar,

day = "7",

doi = "10.1109/TDEI.2016.006002",

language = "English",

volume = "24",

pages = "83--91",

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

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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

AU - Siew, W. H.

N1 - (c) 2016 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.

PY - 2017/3/7

Y1 - 2017/3/7

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 - partial discharge

KW - cable system

KW - signal identification

KW - interference rejection

KW - feature extraction

KW - asset management

KW - ethylene-propylene rubber

KW - synchronous detection

KW - multi-information fusion

KW - pattern recognition

UR - http://ieeexplore.ieee.org/document/7873463/

U2 - 10.1109/TDEI.2016.006002

DO - 10.1109/TDEI.2016.006002

M3 - Article

SN - 1070-9878

VL - 24

SP - 83

EP - 91

JO - IEEE Transactions on Dielectrics and Electrical Insulation

JF - IEEE Transactions on Dielectrics and Electrical Insulation

IS - 1

ER -

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

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KNOWLEDGE DISCOVERY FROM ON-LINE CABLE CONDITION MONITORING SYSTEMS - INSULATION DEGRADATION AND AGING DIAGNOSTICS

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

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KNOWLEDGE DISCOVERY FROM ON-LINE CABLE CONDITION MONITORING SYSTEMS - INSULATION DEGRADATION AND AGING DIAGNOSTICS

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