A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction
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Title
A data-driven digital-twin prognostics method for proton exchange membrane fuel cell remaining useful life prediction
Authors
Keywords
Deep learning, Digital twin, Prognostics, Proton exchange membrane fuel cell, Remaining useful life
Journal
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY
Volume 46, Issue 2, Pages 2555-2564
Publisher
Elsevier BV
Online
2020-11-06
DOI
10.1016/j.ijhydene.2020.10.108
References
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