Title :
SelSus: Towards a reference architecture for diagnostics and predictive maintenance using smart manufacturing devices
Author :
Mohamed S. Sayed;Niels Lohse;Nicolaj S⊘ndberg-Jeppesen;Anders L. Madsen
Author_Institution :
Wolfson School of Mechanical and Manufacturing Engineering, Loughborough University, Leicestershire, UK
fDate :
7/1/2015 12:00:00 AM
Abstract :
We propose a reference architecture, SelSus (SELf-SUStaining Manufacturing Systems) that aims to enable the provisioning of diagnostic and prognostic capabilities in manufacturing systems that utilize the notions of “smart” automation devices.
Keywords :
"Bayes methods","Cognition","Object oriented modeling","Automation","Maintenance engineering","Engines","Manufacturing"
Conference_Titel :
Industrial Informatics (INDIN), 2015 IEEE 13th International Conference on
Electronic_ISBN :
2378-363X
DOI :
10.1109/INDIN.2015.7281990
