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On the Integration of Fundamental Knowledge about Degradation Processes into Data-Driven Diagnostics and Prognostics Using Theory-Guided Data Science
Author(s) -
Simon Hagmeyer,
Peter Zeiler,
Marco F. Huber
Publication year - 2022
Publication title -
proceedings of ... european conference of the prognostics and health management society.
Language(s) - English
Resource type - Journals
ISSN - 2325-016X
DOI - 10.36001/phme.2022.v7i1.3352
Subject(s) - prognostics , process (computing) , field (mathematics) , data driven , representation (politics) , computer science , data science , machine learning , artificial intelligence , systems engineering , management science , risk analysis (engineering) , data mining , engineering , mathematics , politics , political science , pure mathematics , law , operating system , medicine

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