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

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

    Tutkimustuotos: LehtiartikkeliArticleScientificvertaisarvioitu

    77 Sitaatiot (Scopus)
    196 Lataukset (Pure)

    Abstrakti

    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.
    AlkuperäiskieliEnglanti
    Sivut83-92
    JulkaisuControl Engineering Practice
    Vuosikerta11
    Numero1
    TilaJulkaistu - 2003
    OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

    Tutkimusalat

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

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