Causal model based fault diagnosis applied on a paper machine simulator

Hui Cheng, Mats Nikus, S-L Jämsä-Jounela

    Research output: Contribution to journalConference articleScientificpeer-review

    4 Citations (Scopus)
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    Abstract

    The aim of the work presented in this paper is to evaluate the ability of the causal digraph method to detect and isolate faults on a simulated paper machine process. A causal digraph model for the short circulation process of the paper machine was constructed, identified and used to detect and isolate artificial faults in the simulation environment. The fault of headbox slice opening was studied and diagnosed.
    Original languageEnglish
    Pages (from-to)214-219
    JournalIFAC PROCEEDINGS VOLUMES
    Volume39
    Issue number14
    Publication statusPublished - 2006
    MoE publication typeA4 Conference publication
    EventIFAC Workshop Applications of Large Scale Industrial Systems - Helsinki, Finland
    Duration: 30 Aug 200631 Aug 2006
    Conference number: 1

    Keywords

    • Fault detection
    • fault isolation
    • causal digraph
    • papermaking
    • APROS simulator

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