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Causal model based fault diagnosis applied on a paper machine simulator
Applications of Large Scale Industrial Systems, Volume # 1 | Part# 1
Location: Cruise liner M/S Silja Line, Finland
National Organizing Committee Chair: F. Filip,
L. Yliniemi
International Program Committee Chair: K. Leiviskä
Conference Editor: None
Authors
Hui Cheng; Mats Nikus; Sirkka-Liisa Jamsa-Jounela
Digital Object Identifier (DOI)
10.3182/20060830-2-SF-4903.00038
Page Numbers:
214-219
Index Terms
fault detection,fault isolation,causal digraph,papermaking,APROS simulator
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.
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