30 citations · 89 across the 21 of their papers we have counts for
5 papers · 1 filter
LSTM for Model-Based Anomaly Detection in Cyber-Physical Systems
Benedikt Eiteneuer, Oliver Niggemann
Anomaly detection is the task of detecting data which differs from the normal behaviour of a system in a given context. In order to approach this problem, data-driven models can be…
A Novel Anomaly Detection Algorithm for Hybrid Production Systems based on Deep Learning and Timed Automata
Nemanja Hranisavljevic, Oliver Niggemann, Alexander Maier
Performing anomaly detection in hybrid systems is a challenging task since it requires analysis of timing behavior and mutual dependencies of both discrete and continuous signals.…
Dimensionality Reduction and Anomaly Detection for CPPS Data using Autoencoder
Benedikt Eiteneuer, Nemanja Hranisavljevic, Oliver Niggemann
Unsupervised anomaly detection (AD) is a major topic in the field of Cyber-Physical Production Systems (CPPSs). A closely related concern is dimensionality reduction (DR) which is:…
The DigitalTwin from an Artificial Intelligence Perspective
Oliver Niggemann, Alexander Diedrich, Christian Kuehnert +2
Services for Cyber-Physical Systems based on Artificial Intelligence and Machine Learning require a virtual representation of the physical. To reduce modeling efforts and to synchr…
Numerical Study of the Thermodynamic Uncertainty Relation for the KPZ-Equation
Oliver Niggemann, Udo Seifert
A general framework for the field-theoretic thermodynamic uncertainty relation was recently proposed and illustrated with the dimensional Kardar-Parisi-Zhang equation. In t…