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

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Conference papers
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https://hal-centralesupelec.archives-ouvertes.fr/hal-01390878
Contributor : Claude Delpha <>
Submitted on : Wednesday, November 2, 2016 - 3:25:15 PM
Last modification on : Thursday, March 21, 2019 - 2:41:22 PM

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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. IECON 2016 - 42nd Annual Conference of the IEEE Industrial Electronics Society , IEEE, Oct 2016, Florence, Italy. pp.6971 - 6976 ⟨10.1109/IECON.2016.7793167⟩. ⟨hal-01390878⟩

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