3 papers
cs.LG2026
Physics-Informed Machine Learning in Prognostics and Health Management: A Systematic Literature Review
Christopher Braun, Julian Raible, Marco F. Huber
In modern industry, keeping complex systems reliable, safe, and efficient hinges on Prognostics and Health Management (PHM). Machine Learning (ML) has largely driven advancements i…
cs.DB2024
Overview of Publicly Available Degradation Data Sets for Tasks within Prognostics and Health Management
Fabian Mauthe, Christopher Braun, Julian Raible +2
Central to the efficacy of prognostics and health management methods is the acquisition and analysis of degradation data, which encapsulates the evolving health condition of engine…
cs.RO2024
RoboGrind: Intuitive and Interactive Surface Treatment with Industrial Robots
Benjamin Alt, Florian Stöckl, Silvan Müller +10
Surface treatment tasks such as grinding, sanding or polishing are a vital step of the value chain in many industries, but are notoriously challenging to automate. We present RoboG…