2 papers
cs.LG2024
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…
cs.LG2024
Interpretable Prognostics with Concept Bottleneck Models
Florent Forest, Katharina Rombach, Olga Fink
Deep learning approaches have recently been extensively explored for the prognostics of industrial assets. However, they still suffer from a lack of interpretability, which hinders…