Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features (Englisch)
Freier Zugriff
- Neue Suche nach: Kou, Lei
- Neue Suche nach: Liu, Chuang
- Neue Suche nach: Cai, Guo-wei
- Neue Suche nach: Zhou, Jia-ning
- Neue Suche nach: Yuan, Quan-de
- Neue Suche nach: Kou, Lei
- Neue Suche nach: Liu, Chuang
- Neue Suche nach: Cai, Guo-wei
- Neue Suche nach: Zhou, Jia-ning
- Neue Suche nach: Yuan, Quan-de
In:
IET Power Electronics
;
13
, 16
;
3571-3579
;
2020
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Data-driven design of fault diagnosis for three-phase PWM rectifier using random forests technique with transient synthetic features
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Beteiligte:Kou, Lei ( Autor:in ) / Liu, Chuang ( Autor:in ) / Cai, Guo-wei ( Autor:in ) / Zhou, Jia-ning ( Autor:in ) / Yuan, Quan-de ( Autor:in )
-
Erschienen in:IET Power Electronics ; 13, 16 ; 3571-3579
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:28.09.2020
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Format / Umfang:9 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:three-phase PWM rectifier , fault diagnosis method , PWM rectifiers , random forests algorithm , fault location , fault diagnosis accuracy , transient synthetic features , random forests fault diagnosis classifier , data-driven design , fault diagnosis , support vector machines , open-circuit fault features , neural nets , multiplicative features , online fault diagnosis experiments , insulated gate bipolar transistors , open-circuit faults , random forests technique , three-phase pulse-width modulation rectifier , different data-driven fault diagnosis methods
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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