z-logo
open-access-imgOpen Access
Physics Informed Self Supervised Learning For Fault Diagnostics and Prognostics in the Context of Sparse and Noisy Data
Author(s) -
Weikun Deng,
Khanh T. P. Nguyen,
Kamal Medjaher
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.v7i1.3298
Subject(s) - prognostics , benchmark (surveying) , machine learning , context (archaeology) , artificial intelligence , noise (video) , computer science , supervised learning , exploit , big data , data mining , data science , artificial neural network , paleontology , computer security , geodesy , biology , image (mathematics) , geography

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here