Machinery prognostics is one of the major tasks in condition based maintenance (CBM),
which aims to predict the remaining useful life (RUL) of machinery based on condition …

Accurate remaining useful life (RUL) prediction for rolling bearings encounters many
challenges such as complex degradation processes, varying working conditions, and …

Remaining useful life (RUL) prediction of rolling element bearings plays a pivotal role in
reducing costly unplanned maintenance and increasing the reliability, availability, and safety …

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

Degradation models have become an important analytic tool for complex systems. During
the last two decades, a number of degradation models have been developed to capture the …

Degradation-based remaining useful life (RUL) prediction plays an important role in
ensuring the reliability and safety of rotating machinery components. The accuracy of …

Most industrial products degrade with usage. To capture degradation patterns and schedule
condition-based maintenance actions, it is necessary to model the degradation process and …

Electrical power system (EPS) is one of the most critical sub-systems of the spacecraft.
Lithium-ion battery is the vital component is the EPS. Remaining useful life (RUL) prediction …

Predictive maintenance is one of the most promising ways to reduce the operation and
maintenance (O&M) costs of wind turbines (WTs). Remaining useful life (RUL) prediction is …

For many products, it is not uncommon to see that a unit with a higher degradation rate has a
more volatile degradation path. Motivated by this observation, we propose a new class of …