A Fluid Mixing Benchmark for Anomaly Detection in CPS With Real and Simulated Data

A Fluid Mixing Benchmark for Anomaly Detection in CPS With Real and Simulated Data

Ensuring the safety and reliability of Cyber-Physical Systems requires effective anomaly detection. However, research in this field is often limited by the lack of publicly available benchmark datasets that accurately capture real-world system behavior and provide sufficient documentation. This pape...

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Bibliographic Details
Main Authors: Malte Ramonat, Bernd Zimmering, Silke Merkelbach, Felix Gehlhoff, Oliver Niggemann, Alexander Fay
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Cyber-physical systems
anomaly detection
benchmark dataset
unsupervised learning
simulation
Online Access:https://ieeexplore.ieee.org/document/11096565/
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