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ICON: Supersized 5.0: Cloud-edge-AI supported O&M for a fleet of offshore wind turbines
Helsen, Jan
(Administrative Promotor)
Engineering Technology
Acoustics & Vibration Research Group
Overview
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Research output
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Projects
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
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Computer Science
Median Filtering
100%
Autoencoder
100%
Normal Behavior
100%
Filtering Method
66%
Sliding Window
33%
Distance Metric
33%
Modeling Framework
33%
Anomaly-Based Detection
33%
Predictive Accuracy
33%
Failure Detection
33%
Social Sciences
Artificial Intelligence
100%
Research and Development
100%
Wind Power
100%