Asfarina Abu Bakar and Chai Chang Yii and Chin Kui Fern and Yoong Hou Pin and Muhammad Nur Afnan Uda and Liau Chung Fan and Teddy Goh Khian Teck and Markus Diantoro (2024) Comparative analysis of segmented correlation trimmed mean algorithm for locating random and static partial discharges in power cables. Journal of Advanced Research in Applied Sciences and Engineering Technology, 57 (4). pp. 1-11. ISSN 2462-1943
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Abstract
Power cable monitoring for partial discharge (PD) source is a crucial act to identify the cable’s insulation weakness before the cable breakdown. Recently segmented correlation trimmed mean (SCTM) algorithm had been applied to double-end PD measurement method. The algorithm showed significant improvement in performance when applied to PD source localization on power cables. However, the previous research study only focuses on the performance of the SCTM algorithm for static PD localization. This paper employs a random PD model to evaluate the accuracy of the SCTM algorithm in detecting PD sources. MATLAB simulations compared SCTM algorithm's performance for random PD generation and static PD sources in doubleend PD measurements. Results showed signal-to-noise (SNR) significantly influenced localization accuracy. Maximum PD estimation error ranged from 0.0539 to 0.0891 for random PD scenarios, while for static PD, it remained consistently at 0.0102 across all SNRs. The average PD estimation error was consistently lower for SCTM with static PD locations. As SNR improved, average errors converged to 0.0102 for both scenarios, indicating increased accuracy with lower noise levels. In conclusion, the SCTM algorithm is more effective when used with static PD locations for power cable monitoring, leading to more accurate PD estimations. This research enhances the reliability and efficiency of PD source localization, vital for preserving power cable integrity and preventing breakdowns.
Item Type: | Article |
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Keyword: | Partial discharge localization algorithm; Segmented correlation trimmed mean; Localization accuracy; Power cable; Random PD generator |
Subjects: | T Technology > TJ Mechanical engineering and machinery > TJ1-1570 Mechanical engineering and machinery > TJ807-830 Renewable energy sources T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1-9971 Electrical engineering. Electronics. Nuclear engineering > TK3001-3521 Distribution or transmission of electric power |
Department: | FACULTY > Faculty of Engineering |
Depositing User: | ABDULLAH BIN SABUDIN - |
Date Deposited: | 26 Mar 2025 09:11 |
Last Modified: | 26 Mar 2025 09:11 |
URI: | https://eprints.ums.edu.my/id/eprint/43345 |
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