Li-ion battery state of health estimation and remaining useful life prediction through a model-data-fusion method
Z Lyu, R Gao, L Chen - IEEE Transactions on Power …, 2020 - ieeexplore.ieee.org
The prognostics and health management of Li-ion batteries in electric vehicles are
challenging due to the time-varying and nonlinear battery degradation. This article proposes …
challenging due to the time-varying and nonlinear battery degradation. This article proposes …
Battery state of health modeling and remaining useful life prediction through time series model
While most existing degradation modeling methods for rechargeable batteries consider a
deterministic degradation model such as exponential model, this paper presents a time …
deterministic degradation model such as exponential model, this paper presents a time …
Significance, interpretation, and quantification of uncertainty in prognostics and remaining useful life prediction
S Sankararaman - Mechanical Systems and Signal Processing, 2015 - Elsevier
This paper analyzes the significance, interpretation, and quantification of uncertainty in
prognostics, with an emphasis on predicting the remaining useful life of engineering systems …
prognostics, with an emphasis on predicting the remaining useful life of engineering systems …
Data-driven deep learning-based attention mechanism for remaining useful life prediction: Case study application to turbofan engine analysis
Accurately predicting the remaining useful life (RUL) of the turbofan engine is of great
significance for improving the reliability and safety of the engine system. Due to the high …
significance for improving the reliability and safety of the engine system. Due to the high …
[HTML][HTML] Machining sensor data management for operation-level predictive model
E Kozłowski, D Mazurkiewicz, T Żabiński… - Expert Systems with …, 2020 - Elsevier
Effective transition from raw industrial data to knowledge-based executive actions without
human action requires developing new analytical tools, what also means new challenges for …
human action requires developing new analytical tools, what also means new challenges for …
Maintenance scheduling based on remaining useful life predictions for wind farms managed using power purchase agreements
X Lei, PA Sandborn - Renewable Energy, 2018 - Elsevier
Abstract Prognostics and Health Management (PHM) technologies have been introduced
into wind turbines to forecast the Remaining Useful Life (RUL). PHM with RUL predictions …
into wind turbines to forecast the Remaining Useful Life (RUL). PHM with RUL predictions …
Remaining useful life estimation in heterogeneous fleets working under variable operating conditions
The availability of condition monitoring data for large fleets of similar equipment motivates
the development of data-driven prognostic approaches that capitalize on the information …
the development of data-driven prognostic approaches that capitalize on the information …
Particle-filtering-based failure prognosis via sigma-points: Application to lithium-ion battery state-of-charge monitoring
DE Acuña, ME Orchard - Mechanical Systems and Signal Processing, 2017 - Elsevier
This paper presents a novel prognostic method that allows a proper characterization of the
uncertainty associated with the evolution in time of nonlinear dynamical systems. The …
uncertainty associated with the evolution in time of nonlinear dynamical systems. The …
Methodologies for system-level remaining useful life prediction
While most prognostics approaches focus on accurate computation of the degradation rate
and the remaining useful life (RUL) of individual components, it is the rate at which the …
and the remaining useful life (RUL) of individual components, it is the rate at which the …