Deep imbalanced and semi-supervised regression scheme for aero-engine remaining useful life prediction with few run-to-failure data
Published online on May 07, 2026
Abstract
Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, Ahead of Print.
Remaining useful life (RUL) prediction is the core of predictive maintenance for mechanical systems. Deep learning methods have been widely used in this field, leveraging the abundance of run-to-failure data. However, aero-engines are normally maintained ...
Remaining useful life (RUL) prediction is the core of predictive maintenance for mechanical systems. Deep learning methods have been widely used in this field, leveraging the abundance of run-to-failure data. However, aero-engines are normally maintained ...