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Sensor Screening Methodology for Virtually Sensing Transmission Input Loads of a Wind Turbine Using Machine Learning Techniques and Drivetrain Simulations
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In
Special Issue "Intelligent Sensors and Machine Learning" / Special Issue Editors: Prof. Dr. Richard J. Povinelli, guest Editor; Dr. Cristinel Ababei, Guest Editor; Dr. Henry Medeiros, Guest Editor
In
Sensors 22(10), Seiten/Artikel-Nr.:3659
2022
Online
DOI: 10.18154/RWTH-2022-05978
DOI: 10.3390/s22103659
URL: https://publications.rwth-aachen.de/record/848352/files/848352.pdf
Einrichtungen
- Lehrstuhl und Institut für Maschinenelemente und Systementwicklung (411710)
- Chair for Wind Power Drives (412010)
Thematische Einordnung (Klassifikation)
DDC: 620
OpenAccess: 
PDF
Dokumenttyp
Journal Article/Contribution to a book
Format
online
Sprache
English
Anmerkung
Peer reviewed article
Externe Identnummern
SCOPUS: SCOPUS:2-s2.0-85129861966
WOS Core Collection: WOS:000801723000001
Interne Identnummern
RWTH-2022-05978
Datensatz-ID: 848352
Beteiligte Länder
Germany
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