Application of Causal Digraph Based Fault Diagnosis Method with State-space Models on a Paper Making Process Simulator

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

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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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. In order to represent the causal relations between the variables using state space models, a linearity test was performed for the short circulation sub process in the papermaking simulator. The corresponding causal digraph model was constructed, identified and used to detect and locate the artificial fault in the simulation environment. The studied fault was a fiber retention rate drop on the wire.
    Original languageEnglish
    Title of host publication4th Workshop on Advanced Control and Diagnosis, Nancy, November 2006
    Publication statusPublished - 2006
    MoE publication typeA4 Article in a conference publication

    Keywords

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

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