A two-stage online remaining useful life prediction framework for supercapacitors based on the fusion of deep learning network and state estimation algorithm

Author:

Lou GongmaoORCID,Lin Wenwen,Huang Guoxin,Xiang Wei

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Artificial Intelligence,Control and Systems Engineering

Reference29 articles.

1. Remaining useful life re-prediction methodology based on Wiener process: Subsea christmas tree system as a case study;Cai;Comput. Ind. Eng.,2021

2. Artificial intelligence enhanced two-stage hybrid fault prognosis methodology of PMSM;Cai;IEEE Trans. Ind. Inform.,2021

3. Remaining useful life prediction for lithium-ion battery by combining an improved particle filter with sliding-window gray model;Chen;Energy Rep.,2020

4. A health index construction framework for prognostics based on feature fusion and constrained optimization;Chen;IEEE Trans. Instrum. Meas.,2021

5. A deep learning feature fusion based health index construction method for prognostics using multiobjective optimization;Chen;IEEE Trans. Reliab.,2022

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