Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …

Polymers have been widely applied in various fields in the daily routines and the
manufacturing. Despite the awareness of the aggressive and inevitable aging for the …

随着科学技术的发展和生产工艺的进步, 当代设备日益朝着大型化, 复杂化,
自动化以及智能化方向发展. 为保障设备安全性与可靠性, 剩余寿命(Remaining useful life …

Abstract Remaining Useful Life (RUL) estimation is a fundamental task in the prognostic and
health management (PHM) of industrial equipment and systems. To this end, we propose a …

In numerous industrial applications where safety, efficiency, and reliability are among
primary concerns, condition-based maintenance (CBM) is often the most effective and …

The remaining useful life (RUL) prediction of rolling element bearings has attracted
substantial attention recently due to its importance for the bearing health management. The …

Aging critical infrastructures and valuable machineries together with recent catastrophic
incidents such as the collapse of Morandi bridge calls for an urgent quest to design …

The past decade has witnessed the adoption of artificial intelligence (AI) in various
applications. It is of no exception in the area of prognostics and health management (PHM) …

Accurate remaining useful life (RUL) prediction of critical assets is an important challenge in
condition based maintenance to improve reliability and decrease machine's breakdown and …

The field of prognostics has attracted significant interest from the research community in
recent times. Prognostics enables the prediction of failures in machines resulting in benefits …