A process monitoring system based on the Kohonen self-organizing maps

Sirkka-Liisa Jämsä-Jounela, Mikko Vermasvuori, Petri Endén, Sasa Haavisto

    Research output: Contribution to journalArticleScientificpeer-review

    77 Citations (Scopus)
    177 Downloads (Pure)


    Process monitoring and fault diagnosis have been studied widely in recent years, and the number of industrial applications with encouraging results has grown rapidly. In the case of complex processes a computer-aided monitoring enhances operators possibilities to run the process economically. In this paper, a fault diagnosis system will be described and some application results from the Outokumpu Harjavalta smelter will be discussed. The system monitors process states using neural networks (Kohonen self-organizing maps, SOMs) in conjunction with heuristic rules, which are also used to detect equipment malfunctions.
    Original languageEnglish
    Pages (from-to)83-92
    JournalControl Engineering Practice
    Issue number1
    Publication statusPublished - 2003
    MoE publication typeA1 Journal article-refereed


    • fault detection
    • fault diagnosis
    • monitored control systems
    • neural network
    • rule-based systems


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