Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic
This study presents an examination of partial discharge (PD) localization in oil based on acoustic emission technique utilizing fuzzy logic. First, the PD measurement and localization systems are developed. In total, 2 coordinates of needle-plane electrodes that represent the PD location and 336 aco...
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Institute of Electrical and Electronics Engineers
2022
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my.upm.eprints.1026642024-06-29T14:17:33Z http://psasir.upm.edu.my/id/eprint/102664/ Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic Mohd Hashim, Ahmad Hafiz Azis, Norhafiz Jasni, Jasronita Mohd Radzi, Mohd Amran Masahiro, Kozako Kamarol, Mohamad Yaakub, Zaini This study presents an examination of partial discharge (PD) localization in oil based on acoustic emission technique utilizing fuzzy logic. First, the PD measurement and localization systems are developed. In total, 2 coordinates of needle-plane electrodes that represent the PD location and 336 acoustic emission sensor (AES) coordinates are examined. The electrical PD is measured through an impedance matching circuit (IMC). The acoustic PD is acquired through AES and its signal is boosted by a preamplifier gain unit. The acoustic and electrical PDs are collected once the voltage reaches 30 kV. The data are first preprocessed by discrete wavelet transform (DWT) whereby it will be further analyzed by time of arrival (TOA), fuzzy logic Mamdani (FLM), and fuzzy logic Takagi–Sugeno (FLTS) methods. The arrival of time and distance between PD and AES are calculated based on TOA to find the PD location. Next, TOA and distance to PD location are used to define the input and output membership functions for FLM and FLTS to determine the PD location. It is found that FLTS has a great potential to be used for localization of the PD in oil whereby it has the lowest errors between actual PD location and AES. The performance of FLM and TOA is inferior to FLTS whereby the errors between actual PD location and AES are quite high for both PD locations. Institute of Electrical and Electronics Engineers 2022-04 Article PeerReviewed Mohd Hashim, Ahmad Hafiz and Azis, Norhafiz and Jasni, Jasronita and Mohd Radzi, Mohd Amran and Masahiro, Kozako and Kamarol, Mohamad and Yaakub, Zaini (2022) Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic. IEEE Transactions on Dielectrics and Electrical Insulation, 29 (2). pp. 623-630. ISSN 1070-9878; ESSN: 1558-4135 https://ieeexplore.ieee.org/document/9730828/ 10.1109/tdei.2022.3157911 |
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This study presents an examination of partial discharge (PD) localization in oil based on acoustic emission technique utilizing fuzzy logic. First, the PD measurement and localization systems are developed. In total, 2 coordinates of needle-plane electrodes that represent the PD location and 336 acoustic emission sensor (AES) coordinates are examined. The electrical PD is measured through an impedance matching circuit (IMC). The acoustic PD is acquired through AES and its signal is boosted by a preamplifier gain unit. The acoustic and electrical PDs are collected once the voltage reaches 30 kV. The data are first preprocessed by discrete wavelet transform (DWT) whereby it will be further analyzed by time of arrival (TOA), fuzzy logic Mamdani (FLM), and fuzzy logic Takagi–Sugeno (FLTS) methods. The arrival of time and distance between PD and AES are calculated based on TOA to find the PD location. Next, TOA and distance to PD location are used to define the input and output membership functions for FLM and FLTS to determine the PD location. It is found that FLTS has a great potential to be used for localization of the PD in oil whereby it has the lowest errors between actual PD location and AES. The performance of FLM and TOA is inferior to FLTS whereby the errors between actual PD location and AES are quite high for both PD locations. |
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Mohd Hashim, Ahmad Hafiz Azis, Norhafiz Jasni, Jasronita Mohd Radzi, Mohd Amran Masahiro, Kozako Kamarol, Mohamad Yaakub, Zaini |
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Mohd Hashim, Ahmad Hafiz Azis, Norhafiz Jasni, Jasronita Mohd Radzi, Mohd Amran Masahiro, Kozako Kamarol, Mohamad Yaakub, Zaini Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic |
author_facet |
Mohd Hashim, Ahmad Hafiz Azis, Norhafiz Jasni, Jasronita Mohd Radzi, Mohd Amran Masahiro, Kozako Kamarol, Mohamad Yaakub, Zaini |
author_sort |
Mohd Hashim, Ahmad Hafiz |
title |
Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic |
title_short |
Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic |
title_full |
Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic |
title_fullStr |
Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic |
title_full_unstemmed |
Partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic |
title_sort |
partial discharge localization in oil through acoustic emission technique utilizing fuzzy logic |
publisher |
Institute of Electrical and Electronics Engineers |
publishDate |
2022 |
url |
http://psasir.upm.edu.my/id/eprint/102664/ https://ieeexplore.ieee.org/document/9730828/ |
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