Florent Forest

Interpretable Prognostics with Concept Bottleneck Models

2024 · arXiv (Cornell University)

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 their adoption in safety-critical applications. To improve their trustworthiness, explainable …