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Surrogate Modeling Approaches for Use with Prognostics Models Package (INTERN NOTES)
Document ID
20230011024
Acquisition Source
Ames Research Center
Document Type
Contribution to a larger work
Authors
Elizabeth Hale (Ames Research Center Mountain View, California, United States)
Date Acquired
July 28, 2023
Publication Date
July 30, 2021
Publication Information
Subject Category
Aircraft Propulsion and Power
Computer Programming and Software
Funding Number(s)
WBS: 533127.02.21.01.01
Distribution Limits
Public
Copyright
Work of the US Gov. Public Use Permitted.
Technical Review
NASA Peer Committee
Keywords
surrogate modeling
machine learning
prognostics modeling
battery modeling
sampling methods

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