Recent advances and trends of predictive maintenance from data-driven machine prognostics perspective
In the Engineering discipline, prognostics play an essential role in improving system safety,
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
reliability and enabling predictive maintenance decision-making. Due to the adoption of …
Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods
Degradation-based modeling methods have been recognized as an essential and effective
approach for lifetime and remaining useful life (RUL) estimations for various health …
approach for lifetime and remaining useful life (RUL) estimations for various health …
Stochastic modelling and analysis of degradation for highly reliable products
Degradation models have become an important analytic tool for complex systems. During
the last two decades, a number of degradation models have been developed to capture the …
the last two decades, a number of degradation models have been developed to capture the …
Prognostics and health management: A review on data driven approaches
Prognostics and health management (PHM) is a framework that offers comprehensive yet
individualized solutions for managing system health. In recent years, PHM has emerged as …
individualized solutions for managing system health. In recent years, PHM has emerged as …
Predictive maintenance of systems subject to hard failure based on proportional hazards model
The remaining useful lifetime (RUL) estimated from the in-situ degradation data has shown
to be useful for online predictive maintenance. In the literature, the RUL is often estimated by …
to be useful for online predictive maintenance. In the literature, the RUL is often estimated by …
A review on prognostics methods for engineering systems
Due to the advancements in sensing technologies and computational capabilities, system
health assessment and prognostics have been extensively investigated in the literature …
health assessment and prognostics have been extensively investigated in the literature …
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 …
Joint modeling of degradation and lifetime data for RUL prediction of deteriorating products
Degradation is one of the major root causes of system failure. In some applications, the
degradation levels are different upon failure, in which the fixed failure threshold assumption …
degradation levels are different upon failure, in which the fixed failure threshold assumption …
A Bayesian inference for remaining useful life estimation by fusing accelerated degradation data and condition monitoring data
Z Pang, X Si, C Hu, D Du, H Pei - Reliability Engineering & System Safety, 2021 - Elsevier
This article addresses the problem of estimating the remaining useful life (RUL) of degrading
products by fusing the accelerated degradation data and condition monitoring (CM) data …
products by fusing the accelerated degradation data and condition monitoring (CM) data …
A shape-constrained neural data fusion network for health index construction and residual life prediction
With the rapid development of sensor technologies, multisensor signals are now readily
available for health condition monitoring and remaining useful life (RUL) prediction. To fully …
available for health condition monitoring and remaining useful life (RUL) prediction. To fully …