Volterra bound interval type-2 fuzzy logic-based approach for multiple power quality events analysis (Englisch)
Freier Zugriff
- Neue Suche nach: Kapoor, Rajiv
- Neue Suche nach: Kumar, Rahul
- Neue Suche nach: Tripathi, Madan Mohan
- Neue Suche nach: Kapoor, Rajiv
- Neue Suche nach: Kumar, Rahul
- Neue Suche nach: Tripathi, Madan Mohan
In:
IET Electrical Systems in Transportation
;
8
, 3
;
188-196
;
2018
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Volterra bound interval type-2 fuzzy logic-based approach for multiple power quality events analysis
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Beteiligte:
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Erschienen in:IET Electrical Systems in Transportation ; 8, 3 ; 188-196
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:26.03.2018
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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:probabilistic NN , probability , neural networks , PQ event detection , PQ event classification , interval type-2 fuzzy logic system , Volterra series , membership functions , neural nets , signal detection , IT2FLS , type-1 fuzzy logic system classifiers , feature extraction , power supply quality , support vector machine , support vector machines , fuzzy logic , input-output relationship representation , signal-to-noise ratio , multiple power quality events analysis , additive noise , nonlinear systems , signal classification , Volterra bound interval type-2 fuzzy logic-based approach , power engineering computing , infinite power series
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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