Title :
Condition monitoring for predictive maintenance in the pulp & paper industry: Two implementations
Author :
Jokinen, J. ; Postelnicu, C. ; Zhang, B. ; Camp, R. ; Suhonen, M. ; Karhumäki, O. ; Lastra, J. L Martinez
Author_Institution :
Dept. of Production Eng., Tampere Univ. of Technol., Tampere, Finland
Abstract :
This paper presents two implementations of condition monitoring of significant information in a typical machine utilized in the pulp and paper industry, a circuit oil lubrication system. The two discussed alternatives confront a traditional centralized monitoring approach against a Web Service based approach. Advantages and disadvantages of one choice over the other are considered. Both solutions make possible condition based and predictive maintenance as opposed to cyclic maintenance (the approach utilized before these improvements came into place in the presented industrial setting). The presented developments led to vital financial and time savings.
Keywords :
Web services; condition monitoring; maintenance engineering; paper industry; production engineering computing; Web service based approach; centralized monitoring approach; circuit oil lubrication system; condition based maintenance; condition monitoring; cyclic maintenance; financial savings; predictive maintenance; pulp-and-paper industry; time savings; Java; Lubrication; Maintenance engineering; Monitoring; Sensors; Servers; Web services; asset awareness; condition monitoring; predictive maintenance; pulp and paper industry; visualization;
Conference_Titel :
Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-1-4673-1713-9
Electronic_ISBN :
978-1-4673-1712-2
DOI :
10.1109/ICSMC.2012.6377971