ML-based Digital Twin for anomaly detection: a case-study on Turtle soccer robots
Author:
Affiliation:
1. Eindhoven University of Technology,SET Cluster, Dept. of Mathematics & Computer Science,Eindhoven,The Netherlands
2. Eindhoven University of Technology,Department of Mechanical Engineering,Eindhoven,The Netherlands
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10371370/10371407/10371658.pdf?arnumber=10371658
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1. Predictive Monitoring of Large-Scale Engineering Assets Using Machine Learning Techniques and Reduced-Order Modeling
2. Anomalies Detection in Structures, System and Components for Supporting Nuclear Long Term Operation Program
3. Anomaly detection
4. Autoencoder-based network anomaly detection
5. Smart Grid Anomaly Detection using a Deep Learning Digital Twin
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1. TWIN-ADAPT: Continuous Learning for Digital Twin-Enabled Online Anomaly Classification in IoT-Driven Smart Labs;Future Internet;2024-07-04
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