Hybrid Deep Learning-Based Approach for Rolling Bearing Fault Prognostics

AuthID
 P-00Z-Y5A
5
Author(s)
Neto, D
·
Petrella, L
·
Henriques, J
·
Cardoso, A
4
Editor(s)
Ishii,H;Ebihara,Y;Imura,J;Yamakita,M
Document Type
Proceedings Paper
Year published
2023
Published
in IFAC PAPERSONLINE, ISSN: 2405-8963
Volume: 56, Issue: 2, Pages: 6588-+ (7)
Conference
22Nd World Congress of the International Federation of Automatic Control (Ifac), Date: JUL 09-14, 2023, Location: Yokohama, JAPAN
Indexing
Wos®
Scopus®
Crossref®
Google Scholar®
Publication Identifiers
SCOPUS: 2-s2.0-85183634003
Wos: WOS:001122557300053
Source Identifiers
ISSN: 2405-8963
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