Wear and Tear: A Data Driven Analysis of the Operating Condition of Lubricant Oils

AuthID
P-00V-GNB
3
Author(s)
Malaguti, R
·
Lourenco, N
·
5
Editor(s)
Dolgui,A;Bernard,A;Lemoine,D;VonCieminski,G;Romero,D
Document Type
Proceedings Paper
Year published
2021
Published
in ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS, PT V in IFIP Advances in Information and Communication Technology, ISSN: 1868-4238
Volume: 634, Pages: 217-225 (9)
Conference
International-Federation-Of-Information-Processing-Working-Group-5.7 (Ifip Wg 5.7) International Conference on Advances in Production Management Systems (Apms), Date: SEP 05-09, 2021, Location: ELECTR NETWORK, Sponsors: Int Fed Informat Proc Working Grp 5 7 Advances Prod Management Syst, IMT Atlantique, Campus Nantes, Univ Nantes, Centrale Nantes, Rennes Business Sch, Audecia Business Sch
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Publication Identifiers
SCOPUS: 2-s2.0-85115319331
Wos: WOS:000775555100023
Source Identifiers
ISSN: 1868-4238
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