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

As wind energy is becoming a significant utility source, minimizing the operation and
maintenance (O&M) expenses has raised a crucial issue to make wind energy competitive to …

The extraction of significant features is essential for efficient fault diagnosis and prognosis of
rolling element bearing. Data fusion is the predominant technology for extracting significant …

To overcome the shortcomings of traditional roller bearing remaining useful life prediction
methods, which mainly focus on prediction accuracy improvement and ignore labor cost and …

Accurate estimation of remaining useful life (RUL) is indispensable for the safe operation of
rotating machinery, reducing maintenance costs and unnecessary downtime. Numerous …

This work is dedicated to the establishment of state-space modeling combined with a novel
probabilistic entropy-based health indicator (HI), needed to assess the dynamic degradation …

面向大数据背景下随机退化设备剩余寿命(Remaining useful life, RUL) 预测的现实需求,
结合随机退化设备监测大数据特点及剩余寿命预测不确定性量化这一核心问题 …

Bearing is one of the most important component of rotary machine, and its health state is
directly related to the safety of industrial production. In this paper, health state assessment of …

As a transmission component, the gear has been obtained widespread attention. The
remaining useful life (RUL) prediction of gear is critical to the prognostics health …

This paper develops a condition-based maintenance (CBM) model for a multi-component
system operating under a dynamic environment. The degradation process of each …