Novel Causal Digraph Reasoning For Fault Diagnosis with Application on the Paper Machine Short Circulation Process

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

    Research output: Contribution to journalConference articleScientificpeer-review

    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
    Pages (from-to)11118-11123
    JournalIFAC PROCEEDINGS VOLUMES
    Volume41
    Issue number2
    DOIs
    Publication statusPublished - 2008
    MoE publication typeA4 Article in a conference publication
    EventIFAC World Congress - Seoul, Korea, Republic of
    Duration: 6 Jul 200811 Jul 2008
    Conference number: 17

    Keywords

    • Methods based on discrete event models, on hybrid or on qualitative models for FDI, Process performance monitoring/statistical process control, Distributed fault detection and isolation

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