An online application of dynamic PLS to a dearomatization process

Tiina Komulainen, Mauri Sourander, Sirkka-Liisa Jämsä-Jounela

    Research output: Contribution to journalArticleScientificpeer-review

    91 Citations (Scopus)
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    Early detection of process disturbances and prediction of malfunctions in process equipment improve the safety of the process, minimize the time and resources needed for maintenance, and increase the uniform quality of the products. The objective of online-monitoring is to trace the state of the process and the condition of process equipment in real-time, and to detect faults as early as possible.

    In this article the different properties of the online-monitoring methods applied in the process industries are first reviewed. A description of the systematic development of the online-monitoring system for an industrial dearomatization process, specifically for flash point and distillation curve analysers, is then presented. Finally, the results of offline and online tests of the monitoring system using real industrial data from the Fortum Naantali Refinery in Finland, are described and discussed. The developed online-monitoring application was successful in real-time process monitoring and it fulfilled the industrial requirements. PACS: 07.05.Mh; 07.05.Tp; 83.85.Ns
    Original languageEnglish
    Pages (from-to)2611-2619
    JournalComputers and Chemical Engineering
    Issue number11
    Publication statusPublished - 2004
    MoE publication typeA1 Journal article-refereed


    • Online process monitoring
    • Industrial real-time application
    • Dynamic PLS
    • Computed variables
    • Time-lagged variables
    • Trickle-bed reactor
    • Online analysers
    • Flash point analyser
    • Distillation curve analyser


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