and LRD characteristics of the equipment degradation process. This paper describes a new RUL prediction

. The degradation process of a CGC from a normal state to a failure state has long-range dependence (LRD

The degradation process of lithium-ion batteries has memory, i.e. it has long-range dependence (LRD

. Additionally, pectolinarigenin promoted RRM2 protein degradation via autolysosome-dependent pathway

decrease and corrosion rate enhancement. To understand key factors of the surface degradation behavior

Tool Degradation Prediction Based on Semimartingale Approximation of Linear Fractional Alpha

for Lithium-ion batteries remaining useful life (RUL) prediction. Firstly, the FBM degradation model

-range dependence (LRD) and heavy-tailed characteristics of degradation modeling make this method advantageous

–Stieltjes transform and Monte Carlo simulation. The proposed degradation model exhibits flexibility for capturing long

lithium batteries. Capacity degradation of the electric car lithium batteries is modeled by the multi