- Location
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Deutsche Nationalbibliothek Frankfurt am Main
- Extent
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Online-Ressource
- Language
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Englisch
- Bibliographic citation
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Active Trailing Edge Flap System fault detection via Machine Learning ; day:11 ; month:05 ; year:2023 ; pages:1-28 ; extent:28
Wind energy science discussions ; (11.05.2023), 1-28 (gesamt 28)
- Creator
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Gamberini, Andrea
Abdallah, Imad
- DOI
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10.5194/wes-2023-24
- URN
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urn:nbn:de:101:1-2023051804364857605833
- Rights
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Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 11:04 AM CEST
Data provider
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Associated
- Gamberini, Andrea
- Abdallah, Imad
Other Objects (12)
Active trailing edge flap system fault detection via machine learning
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Active Flap Control with the Trailing Edge Flap Hinge Moment as a Sensor: Using it to Estimate Local Blade Inflow Conditions and to Reduce Extreme Blade Loads and Deflections
Active flap control with the trailing edge flap hinge moment as a sensor: using it to estimate local blade inflow conditions and to reduce extreme blade loads and deflections
Active trailing edge flap system fault detection via machine learning
Alarmübung ACTIVE EDGE
Alarmübung ACTIVE EDGE
NATO-Übungen: ACTIVE EDGE.- Alarmübung
Validation of aeroelastic dynamic model of Active Trailing Edge Flap system tested on a 4.3 MW wind turbine
Machine learning methods for fault classification
Validation of aeroelastic dynamic model of active trailing edge flap system tested on a 4.3 MW wind turbine
Active Fault Tolerant Nonsingular Terminal Sliding Mode Control for Electromechanical System Based on Support Vector Machine
Active fault-tolerance in wireless networked control systems
Active fault-tolerance in wireless networked control systems
Active Flap Control with the Trailing Edge Flap Hinge Moment as a Sensor: Using it to Estimate Local Blade Inflow Conditions and to Reduce Extreme Blade Loads and Deflections
Active flap control with the trailing edge flap hinge moment as a sensor: using it to estimate local blade inflow conditions and to reduce extreme blade loads and deflections
Active trailing edge flap system fault detection via machine learning
Alarmübung ACTIVE EDGE
Alarmübung ACTIVE EDGE
NATO-Übungen: ACTIVE EDGE.- Alarmübung
Validation of aeroelastic dynamic model of Active Trailing Edge Flap system tested on a 4.3 MW wind turbine
Machine learning methods for fault classification
Validation of aeroelastic dynamic model of active trailing edge flap system tested on a 4.3 MW wind turbine
Active Fault Tolerant Nonsingular Terminal Sliding Mode Control for Electromechanical System Based on Support Vector Machine
Active fault-tolerance in wireless networked control systems
Active fault-tolerance in wireless networked control systems
Active Flap Control with the Trailing Edge Flap Hinge Moment as a Sensor: Using it to Estimate Local Blade Inflow Conditions and to Reduce Extreme Blade Loads and Deflections