4 papers
k-space Physics-informed Neural Network (k-PINN) for Compressed Spectral Mapping and Efficient Inversion of Vibrations in Thin Composite Laminates
Saeid Hedayatrasa, Olga Fink, Wim Van Paepegem +1
The vibrational response of structural components carries valuable information about their underlying mechanical properties, health status and operational conditions. This undersco…
Learning Informative Health Indicators Through Unsupervised Contrastive Learning
Katharina Rombach, Gabriel Michau, Wilfried Bürzle +2
Monitoring the health of complex industrial assets is crucial for safe and efficient operations. Health indicators that provide quantitative real-time insights into the health stat…
DyEdgeGAT: Dynamic Edge via Graph Attention for Early Fault Detection in IIoT Systems
Mengjie Zhao, Olga Fink
In the Industrial Internet of Things (IIoT), condition monitoring sensor signals from complex systems often exhibit nonlinear and stochastic spatial-temporal dynamics under varying…
Collective Relational Inference for learning heterogeneous interactions
Zhichao Han, Olga Fink, David S. Kammer
Interacting systems are ubiquitous in nature and engineering, ranging from particle dynamics in physics to functionally connected brain regions. These interacting systems can be mo…