Process anomalies and unexpected failures of manufacturing systems are problems that
cause a decreased quality of process and product. Current data analytics approaches show …

Manufacturing downtime due to faults is costly and disruptive. With the increasing availability
of real-time data in modern Smart Manufacturing (SM) environments, effective anomaly …

With the continuous expansion of smart manufacturing environments, where shared data are
readily available in real time, the implementation of anomaly detection strategies has …

Aufgrund des globalen Wettbewerbs und einer steigenden Produktkomplexität ist in den
letzten Jahren auch die Komplexität der Produktionssysteme und damit auch der …

Abstract The diagnosis of Cyber-Physical Production Systems (CPPS) comprises two main
steps:(i) The identification of anomalous system behavior und (ii) the deduction of the …

Cyber-Physical Systems (CPS) are systems that connect physical components with software
components. CPS used for production are called Cyber-Physical Production Systems …

Autonomously detecting anomalous behavior based on system observations is a
fundamental task for Cyber-Physical Systems (CPS). Due to the high system complexity and …

We make two contributions to the Isolation Forest method for anomaly and outlier detection.
The first contribution is an information-theoretically motivated generalisation of the score …

Deployment of Ethernet based communication technologies in industrial environments is a
fact. They allow to build Networked Controls Systems (NCS) able to achieve high …

Sequential data generated from various sources in a multi-mode industrial production
system provides valuable information on the current mode of the system and enables one to …