• DocumentCode
    2469710
  • 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
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    1633
  • Lastpage
    1638
  • 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;
  • fLanguage
    English
  • Publisher
    ieee
  • 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
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377971
  • Filename
    6377971