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

As the fundamental and key technique to ensure the safe and reliable operation of vital
systems, prognostics with an emphasis on the remaining useful life (RUL) prediction has …

With the rapid development of Industrial Internet of Things, more and more sensors have
been used for condition monitoring and prognostics of industrial systems. Big data collected …

Abstract Accurately predicting the Remaining Useful Life (RUL) is useful to avoid
unexpected significant failure of engineering system and reduce maintenance costs …

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 …

Aircraft maintenance is undergoing a paradigm shift towards predictive maintenance, where
the use of sensor data and Remaining-Useful-Life prognostics are central. This paper …

Remaining useful life (RUL) prediction is critical for ensuring the safe and efficient operation
of machinery. Due to the existence of multiple influencing factors, the degradation of …

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 …

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 …

In this paper, we propose a generalized Wiener process-based degradation model with an
adaptive drift to characterize the degradation behavior exhibiting nonlinearity, temporal …