A new method based on stochastic process models for machine remaining useful life prediction
Remaining useful life (RUL) prediction is a key process in condition-based maintenance for
machines. It contributes to reducing risks and maintenance costs and increasing the …
machines. It contributes to reducing risks and maintenance costs and increasing the …
Remaining useful life prediction by fusing expert knowledge and condition monitoring information
In this article, we develop a mixture of Gaussians-evidential hidden Markov model (MoG-
EHMM) to fuse expert knowledge and condition monitoring information for remaining useful …
EHMM) to fuse expert knowledge and condition monitoring information for remaining useful …
Nonlinear-drifted Brownian motion with multiple hidden states for remaining useful life prediction of rechargeable batteries
Brownian motion with adaptive drift has attracted much attention in prognostics because its
first hitting time is highly relevant to remaining useful life prediction and it follows the inverse …
first hitting time is highly relevant to remaining useful life prediction and it follows the inverse …
A remaining useful life prognosis of turbofan engine using temporal and spatial feature fusion
C Peng, Y Chen, Q Chen, Z Tang, L Li, W Gui - Sensors, 2021 - mdpi.com
The prognosis of the remaining useful life (RUL) of turbofan engine provides an important
basis for predictive maintenance and remanufacturing, and plays a major role in reducing …
basis for predictive maintenance and remanufacturing, and plays a major role in reducing …
An adaptive prognostic approach via nonlinear degradation modeling: Application to battery data
XS Si - IEEE Transactions on Industrial Electronics, 2015 - ieeexplore.ieee.org
Remaining useful life (RUL) estimation via degradation modeling is considered as one of
the most central components in prognostics and health management. Current RUL …
the most central components in prognostics and health management. Current RUL …
Degradation modeling and remaining useful life prediction of aircraft engines using ensemble learning
Degradation modeling and prediction of remaining useful life (RUL) are crucial to
prognostics and health management of aircraft engines. While model-based methods have …
prognostics and health management of aircraft engines. While model-based methods have …
[HTML][HTML] Forecasting remaining useful life: Interpretable deep learning approach via variational Bayesian inferences
M Kraus, S Feuerriegel - Decision Support Systems, 2019 - Elsevier
Predicting the remaining useful life of machinery, infrastructure, or other equipment can
facilitate preemptive maintenance decisions, whereby a failure is prevented through timely …
facilitate preemptive maintenance decisions, whereby a failure is prevented through timely …