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

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Research units


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
Issue number2
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

    Research areas

  • 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

ID: 36371749