Diagnostics of partial discharge measurements utilizing multi-sensor temporal pulse sequence analysis

Zhang, Kai, Reid, Alistair ORCID: https://orcid.org/0000-0003-3058-9007, Clark, David ORCID: https://orcid.org/0000-0002-1090-2361, Michelarakis, Michail ORCID: https://orcid.org/0000-0003-2862-4539 and Haddad, A. Manu ORCID: https://orcid.org/0000-0003-4153-6146 2024. Diagnostics of partial discharge measurements utilizing multi-sensor temporal pulse sequence analysis. IEEE Access 12 , 88992 - 89001. 10.1109/ACCESS.2024.3419082

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Abstract

This paper presents an improved temporal pulse sequence analysis (PSA) method for diagnosing partial discharge (PD) phenomena. The proposed method enables simultaneous high-resolution PD recognition across electrical sensors and ultra-high frequency antennae, facilitating the differentiation of defect types and the quantification of PD severity, as well as, their unique characteristics. This is achieved by utilizing advanced discrete-time integration techniques within two sensor measurement systems. Each PD event is time-stamped in post-processing, with a particular focus on analyzing charge-to-charge and ultra high frequency (UHF) energy-to-energy sequences analysis. The improved temporal PSA merits the advantages of a wide bandwidth of high-frequency current transformers and antennae to improve accuracy and efficiency. To conduct this method, a dual-sensor PD measurement circuit was set up to examine the protrusion on the ground side, the floating electrode, and the free-moving particle defects, which are potentially present in gas-insulated switchgear. Obtained results present dynamic PD variations in both time differences and magnitudes, establishing correlational PD patterns between sensors in a distinct manner. The application of the proposed method can serve as a reliable diagnostics approach for PD detection in gas-insulated switchgear and offer insights into underscoring PD phenomena itself.

Item Type:	Article
Date Type:	Published Online
Status:	Published
Schools:	Engineering
Publisher:	Institute of Electrical and Electronics Engineers
ISSN:	2169-3536
Date of First Compliant Deposit:	23 July 2024
Last Modified:	23 Jul 2024 10:45
URI:	https://orca.cardiff.ac.uk/id/eprint/170436

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