Data-driven approach for dip voltage fault detection and identification based on grid current vector trajectory analysis

Type de document :
Communication dans un congrès
IEEE. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society , Oct 2016, Florence, Italy. pp.6971 - 6976 IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society 〈10.1109/IECON.2016.7793167〉
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01390878
Contributeur : Claude Delpha <>
Soumis le : mercredi 2 novembre 2016 - 15:25:15
Dernière modification le : jeudi 5 avril 2018 - 12:30:24

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Amel Adouni, Claude Delpha, Demba Diallo, Lassad Sbita. Data-driven approach for dip voltage fault detection and identification based on grid current vector trajectory analysis. IEEE. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society , Oct 2016, Florence, Italy. pp.6971 - 6976 IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society 〈10.1109/IECON.2016.7793167〉. 〈hal-01390878〉

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