Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter
Short circuit is a key factor which drastically affects the efficiency of metal electrorefining. Infrared image of the intercell busbar region is used to perform short circuit detection. To cope with the high thermal background, a two-level short circuit detection method is designed. Firstly, with b...
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Format: | Article |
Language: | English |
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Wiley
2021-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/8824768 |
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author | Xin Li Yonggang Li Hongqiu Zhu Renchao Wu Can Zhou |
author_facet | Xin Li Yonggang Li Hongqiu Zhu Renchao Wu Can Zhou |
author_sort | Xin Li |
collection | DOAJ |
description | Short circuit is a key factor which drastically affects the efficiency of metal electrorefining. Infrared image of the intercell busbar region is used to perform short circuit detection. To cope with the high thermal background, a two-level short circuit detection method is designed. Firstly, with background subtraction, high intensity short circuit electrodes, as well as the background, are removed, and normal working electrodes are preserved. In the second stage, suspicious short circuit areas are sifted out by normal electrode detecting and texture period estimation. Gaussian difference filter (DoG) which is based on the human visual system is improved to match the target gray distribution. A comparative experiment indicates that the proposed orthogonal DoG outperforms the original DoG and top-hat in the accuracy of normal electrode detection. The two-level detection method in this paper is applied in a copper electrolysis plant and exhibits superiority in locating short circuits and avoiding miss detection. |
format | Article |
id | doaj-art-1827717ddc1543cc978328424b2ff883 |
institution | Kabale University |
issn | 1076-2787 1099-0526 |
language | English |
publishDate | 2021-01-01 |
publisher | Wiley |
record_format | Article |
series | Complexity |
spelling | doaj-art-1827717ddc1543cc978328424b2ff8832025-02-03T05:52:27ZengWileyComplexity1076-27871099-05262021-01-01202110.1155/2021/88247688824768Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG FilterXin Li0Yonggang Li1Hongqiu Zhu2Renchao Wu3Can Zhou4School of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaSchool of Automation, Central South University, Changsha 410083, ChinaShort circuit is a key factor which drastically affects the efficiency of metal electrorefining. Infrared image of the intercell busbar region is used to perform short circuit detection. To cope with the high thermal background, a two-level short circuit detection method is designed. Firstly, with background subtraction, high intensity short circuit electrodes, as well as the background, are removed, and normal working electrodes are preserved. In the second stage, suspicious short circuit areas are sifted out by normal electrode detecting and texture period estimation. Gaussian difference filter (DoG) which is based on the human visual system is improved to match the target gray distribution. A comparative experiment indicates that the proposed orthogonal DoG outperforms the original DoG and top-hat in the accuracy of normal electrode detection. The two-level detection method in this paper is applied in a copper electrolysis plant and exhibits superiority in locating short circuits and avoiding miss detection.http://dx.doi.org/10.1155/2021/8824768 |
spellingShingle | Xin Li Yonggang Li Hongqiu Zhu Renchao Wu Can Zhou Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter Complexity |
title | Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter |
title_full | Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter |
title_fullStr | Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter |
title_full_unstemmed | Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter |
title_short | Short Circuit Fault Detection against High Thermal Background Using a Two-Level Scheme Based on DoG Filter |
title_sort | short circuit fault detection against high thermal background using a two level scheme based on dog filter |
url | http://dx.doi.org/10.1155/2021/8824768 |
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