[HTML][HTML] A long short-term memory neural network based Wiener process model for remaining useful life prediction

X Chen, Z Liu - Reliability Engineering & System Safety, 2022 - Elsevier
An unsuitable type of degradation trend function in the Wiener process-based degradation
model will negatively influence its performance when calculating remaining useful life (RUL) …

Rolling bearing remaining useful life prediction based on dilated causal convolutional DenseNet and an exponential model

W Ding, J Li, W Mao, Z Meng, Z Shen - Reliability Engineering & System …, 2023 - Elsevier
Accurate prediction of the remaining useful life (RUL) of rolling bearings is important to
ensure the safe operation of mechanical system and to formulate maintenance strategies …

A predictive sliding local outlier correction method with adaptive state change rate determining for bearing remaining useful life estimation

H Wang, D Wang, H Liu, G Tang - Reliability Engineering & System Safety, 2022 - Elsevier
The accurate estimation of remaining useful life (RUL) is significant for the operation,
maintenance, and avoidance of unplanned downtime of rotating machinery. To improve the …

A general time-varying Wiener process for degradation modeling and RUL estimation under three-source variability

Y Wang, Q Liu, W Lu, Y Peng - Reliability Engineering & System Safety, 2023 - Elsevier
The study of the remaining useful life (RUL) has shown a rising momentum for ensuring
system availability in past few years. For an engineering unit, due to the existence of …

Remaining useful life prediction using nonlinear multi-phase Wiener process and variational Bayesian approach

W Lin, Y Chai, L Fan, K Zhang - Reliability Engineering & System Safety, 2024 - Elsevier
Due to the changeable internal mechanisms or external working conditions, the degradation
trend of products usually presents multiple phase characteristics. However, most existing …