Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM
In order to enhance effectiveness of single-phase ground fault feature extraction and to achieve exactly identification of fault line selection，a new fault line selection method of single phase grounding fault based on wavelet packet and online sequential extreme learning machine ( OS-ELM) is propos...
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| Format: | Article |
| Language: | zho |
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Harbin University of Science and Technology Publications
2021-04-01
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| Series: | Journal of Harbin University of Science and Technology |
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| Online Access: | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1948 |
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| _version_ | 1849335606684942336 |
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| author | JI Wen-lu ZHAO Xiao-long ZHANG Ming YANG Hong-lei WENG Jia-ming |
| author_facet | JI Wen-lu ZHAO Xiao-long ZHANG Ming YANG Hong-lei WENG Jia-ming |
| author_sort | JI Wen-lu |
| collection | DOAJ |
| description | In order to enhance effectiveness of single-phase ground fault feature extraction and to achieve exactly identification of fault line selection，a new fault line selection method of single phase grounding fault based on wavelet packet and online sequential extreme learning machine ( OS-ELM) is proposed. In this paper，the fault characteristics of fault transient signals are extracted by using the multi-resolution frequency division characteristics of wavelet packets. Combining batch and successive iterative，and constantly updating the training data and network structure，to achieve quickly fault line selection of single-phase grounding. The simulation results show that the more effective fault characteristics can be obtained using wavelet packet full frequency analysis，and OS-ELM is superior to the back propagation ( BP) network，radial basis function network ( ＲBF) and support vector machine ( SVM) in test time and diagnostic accuracy. The proposed method is effective in the single phase grounding fault line，can better meet the needs of online application. |
| format | Article |
| id | doaj-art-4e8e5392260045cc83c31d133cb85a60 |
| institution | Kabale University |
| issn | 1007-2683 |
| language | zho |
| publishDate | 2021-04-01 |
| publisher | Harbin University of Science and Technology Publications |
| record_format | Article |
| series | Journal of Harbin University of Science and Technology |
| spelling | doaj-art-4e8e5392260045cc83c31d133cb85a602025-08-20T03:45:12ZzhoHarbin University of Science and Technology PublicationsJournal of Harbin University of Science and Technology1007-26832021-04-01260211012310.15938/j.jhust.2021.02.014Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELMJI Wen-lu0ZHAO Xiao-long1ZHANG Ming2YANG Hong-lei3WENG Jia-ming4State Grid Jiangsu Electric Power Co. ，Ltd. Nanjing Power Supply Branch，Nanjing Jiangsu，210019，ChinaChina Electric Power Ｒesearch Institute，Beijing 100192，ChinaState Grid Jiangsu Electric Power Co. ，Ltd. Nanjing Power Supply Branch，Nanjing Jiangsu，210019，ChinaChina Electric Power Ｒesearch Institute，Beijing 100192，ChinaKey Laboratory of Control of Power Transmission and Conversion，Ministry of Education，Shanghai Jiao Tong University，Shanghai 200240，ChinaIn order to enhance effectiveness of single-phase ground fault feature extraction and to achieve exactly identification of fault line selection，a new fault line selection method of single phase grounding fault based on wavelet packet and online sequential extreme learning machine ( OS-ELM) is proposed. In this paper，the fault characteristics of fault transient signals are extracted by using the multi-resolution frequency division characteristics of wavelet packets. Combining batch and successive iterative，and constantly updating the training data and network structure，to achieve quickly fault line selection of single-phase grounding. The simulation results show that the more effective fault characteristics can be obtained using wavelet packet full frequency analysis，and OS-ELM is superior to the back propagation ( BP) network，radial basis function network ( ＲBF) and support vector machine ( SVM) in test time and diagnostic accuracy. The proposed method is effective in the single phase grounding fault line，can better meet the needs of online application. https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1948wavelet packet full frequency analysisos-elmsingle-phase ground faultfault line selection |
| spellingShingle | JI Wen-lu ZHAO Xiao-long ZHANG Ming YANG Hong-lei WENG Jia-ming Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM Journal of Harbin University of Science and Technology wavelet packet full frequency analysis os-elm single-phase ground fault fault line selection |
| title | Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM |
| title_full | Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM |
| title_fullStr | Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM |
| title_full_unstemmed | Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM |
| title_short | Fault Line Selection of Single Phase Grounding Based on Wavelet Packet Full Frequency Analysis and OS-ELM |
| title_sort | fault line selection of single phase grounding based on wavelet packet full frequency analysis and os elm |
| topic | wavelet packet full frequency analysis os-elm single-phase ground fault fault line selection |
| url | https://hlgxb.hrbust.edu.cn/#/digest?ArticleID=1948 |
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