Digital Twin for rotating machinery fault diagnosis in smart manufacturing
Year of publication: |
2019
|
---|---|
Authors: | Wang, Jinjiang ; Ye, Lunkuan ; Gao, Robert X. ; Li, Chen ; Zhang, Laibin |
Published in: |
International journal of production research. - London [u.a.] : Taylor & Francis, ISSN 1366-588X, ZDB-ID 1485085-0. - Vol. 57.2019, 12, p. 3920-3934
|
Subject: | cyber-physical system | digital manufacturing | Digital Twin | fault diagnosis | Digitalisierung | Digitization | Industrie | Manufacturing industries | Automatisierte Produktion | Automated manufacturing |
-
Interconnected digital twins and the future of digital manufacturing : insights from a Delphi study
Dyck, Marc Van, (2023)
-
Predictive models in digital manufacturing : research, applications, and future outlook
Kusiak, Andrew, (2023)
-
Ding, Kai, (2019)
- More ...
-
Performance analysis and enhancement of deep convolutional neural network
Wang, Jinjiang, (2019)
-
IPhone or Kindle : competition of electronic books sales
Chen, Li, (2009)
-
Chen, Li, (2018)
- More ...