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1
A Comparative Study on Diagnosing Wind Turbine Blade Fault ..:
, In:
2022 4th International Conference on Energy, Power and Environment (ICEPE)
,
Sethi, Manas Ranjan
;
Hemasudheer, Banala
;
Sahoo, Sudarsan
. - p. 1-5 , 2022
Link:
https://doi.org/10.1109/ICEPE55035.2022.9798026
RT T1
2022 4th International Conference on Energy, Power and Environment (ICEPE)
: T1
A Comparative Study on Diagnosing Wind Turbine Blade Fault Conditions using Vibration Data through META Classifiers
UL https://suche.suub.uni-bremen.de/peid=ieee-9798026&Exemplar=1&LAN=DE A1 Sethi, Manas Ranjan A1 Hemasudheer, Banala A1 Sahoo, Sudarsan A1 Kanoongo, Saummit YR 2022 K1 Vibrations K1 Error analysis K1 Blades K1 Data acquisition K1 Prototypes K1 Machine learning K1 Maintenance engineering K1 Condition Based Maintenance system K1 Fault Diagnosis K1 Wind Turbine K1 Machine Learning classifiers K1 Statistical features SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/ICEPE55035.2022.9798026 DO https://doi.org/10.1109/ICEPE55035.2022.9798026 SF ELIB - SuUB Bremen
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