DocumentCode :
629573
Title :
A concept of intelligent e-maintenance decision making system
Author :
Borissova, Daniela ; Mustakerov, Ivan
Author_Institution :
Dept. Inf. Processes & Decision Support Syst., Inst. of Inf. & Commun. Technol. - BAS, Sofia, Bulgaria
fYear :
2013
fDate :
19-21 June 2013
Firstpage :
1
Lastpage :
6
Abstract :
Technological development resulted in increased complexity in both industrial machinery and production systems. The modern industry is increasingly demanded to work at high reliability, low environmental risks, and increased human safety while operating their processes at maximum yield. Therefore, prevention of failures and early detection of incipient machine and systems problems increases the useful operating life of equipment. The paper describes a concept of intelligent e-maintenance decision making system with effective utilization of expert system capability to condition based maintenance policy. The described system´s concept incorporates actual condition monitoring information and modeling modules together with knowledge management module and via health assessment module the most appropriate decision making is realized. The intelligent strategy selection is numerically illustrated.
Keywords :
condition monitoring; decision making; failure (mechanical); knowledge management; machinery; maintenance engineering; occupational safety; production equipment; reliability; remaining life assessment; condition based maintenance policy; condition monitoring information module; condition monitoring modeling module; early machine problem detection; environmental risks; expert system capability; failure prevention; health assessment module; human safety; industrial machinery; intelligent e-maintenance decision making system; intelligent strategy selection; knowledge management module; production systems; Condition monitoring; Decision making; Decision support systems; Expert systems; Monitoring; condition-based maintenance; decision making; e-maintenance concept; expert system; knowledge management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Innovations in Intelligent Systems and Applications (INISTA), 2013 IEEE International Symposium on
Conference_Location :
Albena
Print_ISBN :
978-1-4799-0659-8
Type :
conf
DOI :
10.1109/INISTA.2013.6577668
Filename :
6577668
Link To Document :
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