1 citations · 2 across the 3 of their papers we have counts for
3 papers
Unsupervised Anomaly Detection in Process-Complex Industrial Time Series: A Real-World Case Study
Sergej Krasnikov, Lukas Meitz, Samineh Bagheri +3
Industrial time-series data from real production environments exhibits substantially higher complexity than commonly used benchmark datasets, primarily due to heterogeneous, multi-…
PDPK: A Framework to Synthesise Process Data and Corresponding Procedural Knowledge for Manufacturing
Richard Nordsieck, André Schweizer, Michael Heider +1
Procedural knowledge describes how to accomplish tasks and mitigate problems. Such knowledge is commonly held by domain experts, e.g. operators in manufacturing who adjust paramete…
Learning Classifier Systems for Self-Explaining Socio-Technical-Systems
Michael Heider, Helena Stegherr, Richard Nordsieck +1
In socio-technical settings, operators are increasingly assisted by decision support systems. By employing these, important properties of socio-technical systems such as self-adapt…