Ein Angebot des JRZ ISIA
Die Reading Group hat den Charakter eines lockeren Fachseminars mit Vorträgen einer Länge zwischen 30 und 45 Minuten und anschließender Diskussion. In freundlicher Atmosphäre und unter weitestgehender Themenfreiheit werden etwa Forschungsergebnisse, wissenschaftliche oder technologische Überblicksvorträge oder die Aufbereitung einer Forschungsfrage präsentiert und diskutiert. Der Fokus liegt im Austausch, in der Diskussion. Organisatorische Fragen, Anmeldungen zu Vorträgen oder Vortragsvorschläge bitte an Stefan Huber richten.
Termine 2025
June 4, 15:15 - 16:15 pm, Olaf Sassnick: Deep Learning-based Time Series Forecasting for Industrial Discrete Process Data
With the introduction of Industry 4.0, continuous collection and monitoring of industrial process data have become fundamental aspects of modern operational technology (OT) systems. The ability to acquire high-resolution multivariate time series data offers new opportunities for data-driven forecasting. Such forecasting facilitates proactive interventions, including process optimization and anomaly detection, with applications ranging from efficiency improvements to cybersecurity. While deep learning-based forecasting models have demonstrated strong performance in various domains, their effectiveness for discrete manufacturing processes are not yet well studied. In this talk, we summarize key characteristics of discrete manufacturing process data and introduce a publicly available dataset that captures these key characteristics. Consequently, we evaluate six state-of-the-art deep learning-based forecasting models on this dataset. Notably, the performance ranking among the models is different than on typical benchmark datasets, reflecting the distinct characteristics of the introduced dataset. We conclude by discussing future directions in this area of research.
Further Dates for the Reading Group
- Jun 25: 15:15 bis 16:15
If you want to join, please send an email to Stefan Huber.