Classification of lightning stroke on transmission line using multi-resolution analysis and machine learning
• Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommend...
Ausführliche Beschreibung
Autor*in: |
Morales, J.A. [verfasserIn] |
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Format: |
E-Artikel |
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Sprache: |
Englisch |
Erschienen: |
2014 |
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Schlagwörter: |
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Umfang: |
13 |
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Übergeordnetes Werk: |
Enthalten in: Synthesis and characterization of AsO[(W,Mo)O - Goudjil, Meriem ELSEVIER, 2023, Amsterdam [u.a.] |
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Übergeordnetes Werk: |
volume:58 ; year:2014 ; pages:19-31 ; extent:13 |
Links: |
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DOI / URN: |
10.1016/j.ijepes.2013.12.017 |
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ELV027831248 |
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10.1016/j.ijepes.2013.12.017 doi GBVA2014003000016.pica (DE-627)ELV027831248 (ELSEVIER)S0142-0615(13)00542-5 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 35.90 bkl Morales, J.A. verfasserin aut Classification of lightning stroke on transmission line using multi-resolution analysis and machine learning 2014 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. Multi-resolution analysis Elsevier Machine learning Elsevier Flashover Elsevier Decomposition level Elsevier Lightning stroke Elsevier Back-flashover Elsevier Orduña, E. oth Rehtanz, C. oth Enthalten in Elsevier Science Goudjil, Meriem ELSEVIER Synthesis and characterization of AsO[(W,Mo)O 2023 Amsterdam [u.a.] (DE-627)ELV009519483 volume:58 year:2014 pages:19-31 extent:13 https://doi.org/10.1016/j.ijepes.2013.12.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.90 Festkörperchemie VZ AR 58 2014 19-31 13 045F 620 |
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10.1016/j.ijepes.2013.12.017 doi GBVA2014003000016.pica (DE-627)ELV027831248 (ELSEVIER)S0142-0615(13)00542-5 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 35.90 bkl Morales, J.A. verfasserin aut Classification of lightning stroke on transmission line using multi-resolution analysis and machine learning 2014 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. Multi-resolution analysis Elsevier Machine learning Elsevier Flashover Elsevier Decomposition level Elsevier Lightning stroke Elsevier Back-flashover Elsevier Orduña, E. oth Rehtanz, C. oth Enthalten in Elsevier Science Goudjil, Meriem ELSEVIER Synthesis and characterization of AsO[(W,Mo)O 2023 Amsterdam [u.a.] (DE-627)ELV009519483 volume:58 year:2014 pages:19-31 extent:13 https://doi.org/10.1016/j.ijepes.2013.12.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.90 Festkörperchemie VZ AR 58 2014 19-31 13 045F 620 |
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10.1016/j.ijepes.2013.12.017 doi GBVA2014003000016.pica (DE-627)ELV027831248 (ELSEVIER)S0142-0615(13)00542-5 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 35.90 bkl Morales, J.A. verfasserin aut Classification of lightning stroke on transmission line using multi-resolution analysis and machine learning 2014 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. Multi-resolution analysis Elsevier Machine learning Elsevier Flashover Elsevier Decomposition level Elsevier Lightning stroke Elsevier Back-flashover Elsevier Orduña, E. oth Rehtanz, C. oth Enthalten in Elsevier Science Goudjil, Meriem ELSEVIER Synthesis and characterization of AsO[(W,Mo)O 2023 Amsterdam [u.a.] (DE-627)ELV009519483 volume:58 year:2014 pages:19-31 extent:13 https://doi.org/10.1016/j.ijepes.2013.12.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.90 Festkörperchemie VZ AR 58 2014 19-31 13 045F 620 |
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10.1016/j.ijepes.2013.12.017 doi GBVA2014003000016.pica (DE-627)ELV027831248 (ELSEVIER)S0142-0615(13)00542-5 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 35.90 bkl Morales, J.A. verfasserin aut Classification of lightning stroke on transmission line using multi-resolution analysis and machine learning 2014 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. Multi-resolution analysis Elsevier Machine learning Elsevier Flashover Elsevier Decomposition level Elsevier Lightning stroke Elsevier Back-flashover Elsevier Orduña, E. oth Rehtanz, C. oth Enthalten in Elsevier Science Goudjil, Meriem ELSEVIER Synthesis and characterization of AsO[(W,Mo)O 2023 Amsterdam [u.a.] (DE-627)ELV009519483 volume:58 year:2014 pages:19-31 extent:13 https://doi.org/10.1016/j.ijepes.2013.12.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.90 Festkörperchemie VZ AR 58 2014 19-31 13 045F 620 |
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10.1016/j.ijepes.2013.12.017 doi GBVA2014003000016.pica (DE-627)ELV027831248 (ELSEVIER)S0142-0615(13)00542-5 DE-627 ger DE-627 rakwb eng 620 620 DE-600 540 VZ 35.90 bkl Morales, J.A. verfasserin aut Classification of lightning stroke on transmission line using multi-resolution analysis and machine learning 2014 13 nicht spezifiziert zzz rdacontent nicht spezifiziert z rdamedia nicht spezifiziert zu rdacarrier • Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. Multi-resolution analysis Elsevier Machine learning Elsevier Flashover Elsevier Decomposition level Elsevier Lightning stroke Elsevier Back-flashover Elsevier Orduña, E. oth Rehtanz, C. oth Enthalten in Elsevier Science Goudjil, Meriem ELSEVIER Synthesis and characterization of AsO[(W,Mo)O 2023 Amsterdam [u.a.] (DE-627)ELV009519483 volume:58 year:2014 pages:19-31 extent:13 https://doi.org/10.1016/j.ijepes.2013.12.017 Volltext GBV_USEFLAG_U GBV_ELV SYSFLAG_U SSG-OLC-PHA 35.90 Festkörperchemie VZ AR 58 2014 19-31 13 045F 620 |
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Classification of lightning stroke on transmission line using multi-resolution analysis and machine learning |
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• Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. |
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• Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. |
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• Classification of lightning stroke with and without fault is presented. • Multi-resolution analysis and machine learning are used. • The most important parameters of lightning are considered. • Comparative evaluation using five mother wavelets is presented. • Multi-resolution analysis is recommended. |
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