Acoustic emission partial discharge localization in oil based on artificial bee colony
This study explores the application of an artificial bee colony (ABC) to locate partial discharge (PD) in a test tank based on acoustic emission (AE) approach. Data from a previous AE PD experimental study, which includes the coordinates of 3 AE sensors and the time difference of arrival (TDOA), wer...
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| Format: | Article |
| Language: | English |
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Universiti Putra Malaysia Press
2025
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| Online Access: | http://psasir.upm.edu.my/id/eprint/120958/ http://psasir.upm.edu.my/id/eprint/120958/1/120958.pdf |
| _version_ | 1848868258349842432 |
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| author | Lim, Zhi Yang Azis, Norhafiz Mohd Hashim, Ahmad Hafiz Mohd Radzi, Mohd Amran Norsahperi, Nor Mohd Haziq Mohd Ariffin, Azrul |
| author_facet | Lim, Zhi Yang Azis, Norhafiz Mohd Hashim, Ahmad Hafiz Mohd Radzi, Mohd Amran Norsahperi, Nor Mohd Haziq Mohd Ariffin, Azrul |
| author_sort | Lim, Zhi Yang |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | This study explores the application of an artificial bee colony (ABC) to locate partial discharge (PD) in a test tank based on acoustic emission (AE) approach. Data from a previous AE PD experimental study, which includes the coordinates of 3 AE sensors and the time difference of arrival (TDOA), were used to construct the nonlinear localization equations. It is known that localization algorithms are among the factors that can affect PD localization accuracy, and the ongoing research in this area underscores the need for further advancements in this topic. Therefore, the ABC was proposed to estimate the PD location through a colony of 120 bees, evenly divided into 60 employed and 60 onlooker bees. The employed bees explored the bounded search space, and onlooker bees refined PD locations found by the employed bees through local search. Scout bees were set out whenever a bee exceeded the limit of abandonment to discover possible PD locations in new areas of the search space. After 500 iterations, the optimal solution was the estimated PD location produced by ABC. Comparisons with the genetic algorithm (GA), particle swarm optimization (PSO) and bat algorithm (BA) revealed that the distance error, maximum deviation and computation time for AE PD localization based on ABC are the lowest. The study concludes that the ABC is more suitable for the multi-variable PD localization task than the GA, PSO, and BA due to its effective balance between local search by onlooker bees and global exploration by scout bees. |
| first_indexed | 2025-11-15T14:49:32Z |
| format | Article |
| id | upm-120958 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:49:32Z |
| publishDate | 2025 |
| publisher | Universiti Putra Malaysia Press |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1209582025-10-17T01:01:49Z http://psasir.upm.edu.my/id/eprint/120958/ Acoustic emission partial discharge localization in oil based on artificial bee colony Lim, Zhi Yang Azis, Norhafiz Mohd Hashim, Ahmad Hafiz Mohd Radzi, Mohd Amran Norsahperi, Nor Mohd Haziq Mohd Ariffin, Azrul This study explores the application of an artificial bee colony (ABC) to locate partial discharge (PD) in a test tank based on acoustic emission (AE) approach. Data from a previous AE PD experimental study, which includes the coordinates of 3 AE sensors and the time difference of arrival (TDOA), were used to construct the nonlinear localization equations. It is known that localization algorithms are among the factors that can affect PD localization accuracy, and the ongoing research in this area underscores the need for further advancements in this topic. Therefore, the ABC was proposed to estimate the PD location through a colony of 120 bees, evenly divided into 60 employed and 60 onlooker bees. The employed bees explored the bounded search space, and onlooker bees refined PD locations found by the employed bees through local search. Scout bees were set out whenever a bee exceeded the limit of abandonment to discover possible PD locations in new areas of the search space. After 500 iterations, the optimal solution was the estimated PD location produced by ABC. Comparisons with the genetic algorithm (GA), particle swarm optimization (PSO) and bat algorithm (BA) revealed that the distance error, maximum deviation and computation time for AE PD localization based on ABC are the lowest. The study concludes that the ABC is more suitable for the multi-variable PD localization task than the GA, PSO, and BA due to its effective balance between local search by onlooker bees and global exploration by scout bees. Universiti Putra Malaysia Press 2025 Article PeerReviewed text en cc_by_nc_nd_4 http://psasir.upm.edu.my/id/eprint/120958/1/120958.pdf Lim, Zhi Yang and Azis, Norhafiz and Mohd Hashim, Ahmad Hafiz and Mohd Radzi, Mohd Amran and Norsahperi, Nor Mohd Haziq and Mohd Ariffin, Azrul (2025) Acoustic emission partial discharge localization in oil based on artificial bee colony. Pertanika Journal of Science and Technology, 33 (1). pp. 241-259. ISSN 0128-7680; eISSN: 2231-8526 http://pertanika2.upm.edu.my/pjst/browse/regular-issue?article=JST-5168-2024 10.47836/pjst.33.1.11 |
| spellingShingle | Lim, Zhi Yang Azis, Norhafiz Mohd Hashim, Ahmad Hafiz Mohd Radzi, Mohd Amran Norsahperi, Nor Mohd Haziq Mohd Ariffin, Azrul Acoustic emission partial discharge localization in oil based on artificial bee colony |
| title | Acoustic emission partial discharge localization in oil based on artificial bee colony |
| title_full | Acoustic emission partial discharge localization in oil based on artificial bee colony |
| title_fullStr | Acoustic emission partial discharge localization in oil based on artificial bee colony |
| title_full_unstemmed | Acoustic emission partial discharge localization in oil based on artificial bee colony |
| title_short | Acoustic emission partial discharge localization in oil based on artificial bee colony |
| title_sort | acoustic emission partial discharge localization in oil based on artificial bee colony |
| url | http://psasir.upm.edu.my/id/eprint/120958/ http://psasir.upm.edu.my/id/eprint/120958/ http://psasir.upm.edu.my/id/eprint/120958/ http://psasir.upm.edu.my/id/eprint/120958/1/120958.pdf |