ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS

Hui Cheng, Mats Nikus, Sirkka-Liisa Jämsä-Jounela

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    Abstract

    This paper presents an enhanced dynamic causal digraph reasoning method for
    fault diagnosis and its application to the short circulation process of a paper machine. In order to improve the isolation capability of the original method, an inference mechanism between the arcs of the graph is proposed to locate process faults on the arcs. Application of the proposed method to the paper machine short circulation process is presented at the end of the paper. The results show that the proposed method is able to identify the responsible arcs when the system is affected by a process fault.
    Original languageEnglish
    Title of host publication14th Nordic Process Control Workshop, Espoo, Finland, 23rd-25th August 2007
    EditorsSirkka-Liisa Jämsä-Jounela
    Place of PublicationEspoo
    Pages136-141
    Publication statusPublished - 2007
    MoE publication typeA4 Article in a conference publication

    Publication series

    Name
    ISSN (Print)1455-4046

    Keywords

    • Causal Digraph
    • Paper Machine
    • CUSUM

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  • Cite this

    Cheng, H., Nikus, M., & Jämsä-Jounela, S-L. (2007). ENHANCED CAUSAL DIGRAPH REASONING FOR FAULT DIAGNOSIS WITH APPLICATION ON THE PAPER MACHINE SHORT CIRCULATION PROCESS. In S-L. Jämsä-Jounela (Ed.), 14th Nordic Process Control Workshop, Espoo, Finland, 23rd-25th August 2007 (pp. 136-141).