Through the Lens of Explainability: Enhancing Trust in Remaining Useful Life Prognosis Models
Published in International Conference on Flexible Automation and Intelligent Manufacturing, 2024
This paper demonstrates how explainability techniques can enhance trustworthiness in remaining useful life (RUL) prognosis models, a critical aspect of predictive maintenance in manufacturing systems.
Recommended citation: Benguessoum, K., Lourenço, R., Bourel, V., & Kubler, S. (2024). "Through the Lens of Explainability: Enhancing Trust in Remaining Useful Life Prognosis Models." International Conference on Flexible Automation and Intelligent Manufacturing, Springer, Cham.
