Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction

L Liao, F Köttig - IEEE Transactions on Reliability, 2014 - ieeexplore.ieee.org
Prognostics focuses on predicting the future performance of a system, specifically the time at
which the system no long performs its desired functionality, its time to failure. As an important …

Remaining useful life prediction of individual units subject to hard failure

Q Zhou, J Son, S Zhou, X Mao, M Salman - IIE Transactions, 2014 - Taylor & Francis
To develop a cost-effective condition-based maintenance strategy, accurate prediction of the
Remaining Useful Life (RUL) is the key. It is known that many failure mechanisms in …

An ensemble learning-based prognostic approach with degradation-dependent weights for remaining useful life prediction

Z Li, D Wu, C Hu, J Terpenny - Reliability Engineering & System Safety, 2019 - Elsevier
Remaining useful life (RUL) prediction is crucial for the implementation of predictive
maintenance strategies. While significant research has been conducted in model-based and …

Data-driven prognostic method based on Bayesian approaches for direct remaining useful life prediction

A Mosallam, K Medjaher, N Zerhouni - Journal of Intelligent Manufacturing, 2016 - Springer
Reliability of prognostics and health management systems relies upon accurate
understanding of critical components' degradation process to predict the remaining useful …

A hybrid framework combining data-driven and model-based methods for system remaining useful life prediction

L Liao, F Köttig - Applied Soft Computing, 2016 - Elsevier
Remaining useful life prediction is one of the key requirements in prognostics and health
management. While a system or component exhibits degradation during its life cycle, there …

A systematic guide for predicting remaining useful life with machine learning

T Berghout, M Benbouzid - Electronics, 2022 - mdpi.com
Prognosis and health management (PHM) are mandatory tasks for real-time monitoring of
damage propagation and aging of operating systems during working conditions. More …

Battery lifetime prognostics

X Hu, L Xu, X Lin, M Pecht - Joule, 2020 - cell.com
Lithium-ion batteries have been widely used in many important applications. However, there
are still many challenges facing lithium-ion batteries, one of them being degradation. Battery …

Merging data sources to predict remaining useful life–an automated method to identify prognostic parameters

JB Coble - 2010 - trace.tennessee.edu
The ultimate goal of most prognostic systems is accurate prediction of the remaining useful
life (RUL) of individual systems or components based on their use and performance. This …

Health index-based prognostics for remaining useful life predictions in electrical machines

F Yang, MS Habibullah, T Zhang, Z Xu… - IEEE Transactions …, 2016 - ieeexplore.ieee.org
Many industries have a growing awareness in utilizing new technologies to improve the
reliability and availability of their systems. Prognostics, a subject concerned with the …

A parametric predictive maintenance decision-making framework considering improved system health prognosis precision

KT Huynh, A Grall, C Bérenguer - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
Health prognosis is an advanced process to forecast the future state of systems, structures,
and components. Even if it is now recognized as a key enabling step for the maintenance …