Review of hybrid prognostics approaches for remaining useful life prediction of engineered systems, and an application to battery life prediction
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 …
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
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 …
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
Remaining useful life (RUL) prediction is crucial for the implementation of predictive
maintenance strategies. While significant research has been conducted in model-based and …
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
Reliability of prognostics and health management systems relies upon accurate
understanding of critical components' degradation process to predict the remaining useful …
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
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 …
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 …
damage propagation and aging of operating systems during working conditions. More …
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 …
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 …
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
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 …
and components. Even if it is now recognized as a key enabling step for the maintenance …