Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm
Time difference of arrival (TDOA) and direction of arrival (DOA) are, respectively, applied to detect partial discharge (PD) target with ultrasonic signal. The reason why these two methods cannot be applied at the same time is that the required parameters, such as arrival time differences and direct...
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| Format: | Article |
| Language: | English |
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IEEE
2025-01-01
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| Series: | IEEE Open Journal of Instrumentation and Measurement |
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| Online Access: | https://ieeexplore.ieee.org/document/10919048/ |
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| author | Zeyu Zhang Xiaojun Tang Xiaoshan Li Chongzhi Liu |
| author_facet | Zeyu Zhang Xiaojun Tang Xiaoshan Li Chongzhi Liu |
| author_sort | Zeyu Zhang |
| collection | DOAJ |
| description | Time difference of arrival (TDOA) and direction of arrival (DOA) are, respectively, applied to detect partial discharge (PD) target with ultrasonic signal. The reason why these two methods cannot be applied at the same time is that the required parameters, such as arrival time differences and directions, cannot be extracted simultaneously. This article solves the problem of calculating these two parameters simultaneously, and then proposes the hybrid TDOA/DOA localization with two <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> sensor arrays in PD localization first. This innovation can help PD positioning to obtain better accuracy and lower hardware requirement. Our previous research, which is kernel principal component analysis modified noncircular fast independent component analysis (KPCA-mnc-FastICA), is further studied to calculate arrival time difference and direction of multiple sources simultaneously. To tackle the problem of slow calculation speed, this article explores a combined method of hybrid TDOA/DOA positioning model and sparrow search algorithm (SSA) with two arrays which is sufficient to meet the requirement of multiple PD localization. The spatial accuracy of the discharge model measurement in the laboratory and the numerous PD signals mixed simulation experiment are supported by empirical evidence. The outcomes demonstrate the suggested method’s superior performance in terms of hardware reduction and multiple target localization. |
| format | Article |
| id | doaj-art-6375f6988f8a46aba1abf21f6756068a |
| institution | DOAJ |
| issn | 2768-7236 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Open Journal of Instrumentation and Measurement |
| spelling | doaj-art-6375f6988f8a46aba1abf21f6756068a2025-08-20T03:05:11ZengIEEEIEEE Open Journal of Instrumentation and Measurement2768-72362025-01-01411410.1109/OJIM.2025.354881710919048Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search AlgorithmZeyu Zhang0https://orcid.org/0009-0009-3772-783XXiaojun Tang1https://orcid.org/0000-0002-5899-2538Xiaoshan Li2https://orcid.org/0000-0002-3099-8727Chongzhi Liu3https://orcid.org/0000-0003-3629-9086Department of Electrical Engineering, Xi’an Jiaotong University, Xi’an, ChinaDepartment of Electrical Engineering, Xi’an Jiaotong University, Xi’an, ChinaDepartment of Electrical Engineering, Xi’an Jiaotong University, Xi’an, ChinaDepartment of Electrical Engineering, Xi’an Jiaotong University, Xi’an, ChinaTime difference of arrival (TDOA) and direction of arrival (DOA) are, respectively, applied to detect partial discharge (PD) target with ultrasonic signal. The reason why these two methods cannot be applied at the same time is that the required parameters, such as arrival time differences and directions, cannot be extracted simultaneously. This article solves the problem of calculating these two parameters simultaneously, and then proposes the hybrid TDOA/DOA localization with two <inline-formula> <tex-math notation="LaTeX">$2\times 2$ </tex-math></inline-formula> sensor arrays in PD localization first. This innovation can help PD positioning to obtain better accuracy and lower hardware requirement. Our previous research, which is kernel principal component analysis modified noncircular fast independent component analysis (KPCA-mnc-FastICA), is further studied to calculate arrival time difference and direction of multiple sources simultaneously. To tackle the problem of slow calculation speed, this article explores a combined method of hybrid TDOA/DOA positioning model and sparrow search algorithm (SSA) with two arrays which is sufficient to meet the requirement of multiple PD localization. The spatial accuracy of the discharge model measurement in the laboratory and the numerous PD signals mixed simulation experiment are supported by empirical evidence. The outcomes demonstrate the suggested method’s superior performance in terms of hardware reduction and multiple target localization.https://ieeexplore.ieee.org/document/10919048/Hardware reductionhybrid time difference of arrival (TDOA)/direction of arrival (DOA)multiple partial discharge (PD) localizationsparrow search algorithm (SSA) |
| spellingShingle | Zeyu Zhang Xiaojun Tang Xiaoshan Li Chongzhi Liu Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm IEEE Open Journal of Instrumentation and Measurement Hardware reduction hybrid time difference of arrival (TDOA)/direction of arrival (DOA) multiple partial discharge (PD) localization sparrow search algorithm (SSA) |
| title | Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm |
| title_full | Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm |
| title_fullStr | Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm |
| title_full_unstemmed | Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm |
| title_short | Hybrid TDOA/DOA Multiple PD Localization Using Two Arrays With KPCA-mnc-FastICA and Sparrow Search Algorithm |
| title_sort | hybrid tdoa doa multiple pd localization using two arrays with kpca mnc fastica and sparrow search algorithm |
| topic | Hardware reduction hybrid time difference of arrival (TDOA)/direction of arrival (DOA) multiple partial discharge (PD) localization sparrow search algorithm (SSA) |
| url | https://ieeexplore.ieee.org/document/10919048/ |
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