Fatigue Risk Analysis with Intelligent Digital Twins Based on Condition Monitoring
Year of publication
2023
Authors
Juuso, Esko K.
Organizations and authors
University of Oulu
Juuso Esko 
Publication type
Publication format
Article
Parent publication type
Conference
Article type
Other article
Audience
ScientificPeer-reviewed
Peer-ReviewedMINEDU's publication type classification code
A4 Article in conference proceedingsPublication channel information
Parent publication name
Parent publication editors
Juuso, Esko; Galar, Diego
Publisher
Article number
7
Pages
83-96
ISSN
ISBN
Publication forum
Publication forum level
1
Open access
Open access in the publisher’s service
No
Self-archived
No
Other information
Fields of science
Mathematics; Electronic, automation and communications engineering, electronics; Mechanical engineering; Other engineering and technologies
Keywords
[object Object],[object Object],[object Object],[object Object]
Publication country
Singapore
Internationality of the publisher
International
Language
English
International co-publication
No
Co-publication with a company
No
DOI
10.1007/978-981-99-1988-8_7
The publication is included in the Ministry of Education and Culture’s Publication data collection
Yes