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 ORCID: https://orcid.org/0000-0003-3058-9007, Hepburn, Donald M., Judd, Martin D. and 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) , pp. 83-91. 10.1109/TDEI.2016.006002

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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.

Item Type:	Article
Date Type:	Publication
Status:	Published
Schools:	Engineering
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering
Uncontrolled Keywords:	feature extraction, Partial discharge, cable system, signal identification, interference rejection
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	1070-9878
Date of First Compliant Deposit:	3 January 2017
Date of Acceptance:	1 August 2016
Last Modified:	18 Nov 2024 21:15
URI:	https://orca.cardiff.ac.uk/id/eprint/94378

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