Open AccessEnabling in-time prognostics with surrogate modeling through physics-enhanced Dynamic Mode Decomposition method
Author(s) -
Katelyn Jarvis,
Matteo Corbetta,
Christopher Teubert,
Stefan Schuet
Publication year - 2022
Publication title -
proceedings of the annual conference of the prognostics and health management society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.18
H-Index - 11
ISSN - 2325-0178
DOI - 10.36001/phmconf.2022.v14i1.3238
Subject(s) - prognostics , surrogate model , nonlinear system , context (archaeology) , computer science , uncertainty quantification , state of health , observable , battery (electricity) , computation , algorithm , machine learning , physics , data mining , power (physics) , paleontology , quantum mechanics , biology