Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries

Hybrid Particle Filter Trained Neural Network for Prognosis of Lithium-Ion Batteries

Prognostics and Health Management (PHM) plays a key role in Industry 4.0 revolution by providing smart predictive maintenance solutions. Early failure detection and prediction of remaining useful life (RUL) of critical industrial machines/components are the main challenges addressed by PHM methodolo...

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Bibliographic Details
Main Authors: Karkulali Pugalenthi, Hyunseok Park, Shaista Hussain, Nagarajan Raghavan
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Hybrid prognostic algorithm
particle filters
neural networks
remaining useful life
lithium-ion batteries
Online Access:https://ieeexplore.ieee.org/document/9551933/

Internet

https://ieeexplore.ieee.org/document/9551933/

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