Open AccessNovel deep cross-domain framework for fault diagnosis or rotary machinery in prognostics and health management
Author(s) -
Behnoush Rezaeianjouybari
Publication year - 2021
Language(s) - English
Resource type - Dissertations/theses
DOI - 10.32469/10355/90086
Subject(s) - prognostics , benchmark (surveying) , field (mathematics) , fault (geology) , deep learning , computer science , engineering , adaptation (eye) , domain (mathematical analysis) , artificial intelligence , machine learning , reliability engineering , data mining , mathematical analysis , physics , mathematics , geodesy , optics , seismology , geology , pure mathematics , geography
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