Application of the Enhanced Dynamic Causal Digraph Method on a Three-Layer Board Machine
Access rights
openAccess
acceptedVersion
URL
Journal Title
Journal ISSN
Volume Title
A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä
This publication is imported from Aalto University research portal.
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
View publication in the Research portal (opens in new window)
View/Open full text file from the Research portal (opens in new window)
Date
2011
Major/Subject
Mcode
Degree programme
Language
en
Pages
Series
IEEE Transactions on Control Systems Technology, Volume 19, issue 3, pp. 644-655
Abstract
This brief presents an enhanced dynamic causal digraph (EDCDG) reasoning method for fault diagnosis. In order to improve the fault isolation ability of the dynamic causal digraph method, a new algorithm for separating the positive and negative fault effect contributions is proposed. The proposed method was tested with an application on a three-layer board machine process. The results show that the proposed method, compared to the conventional dynamic causal digraph method, is able to detect the correct nodes, to form a better fault propagation path and to identify the responsible arcs when the system is affected by a process fault.Description
Keywords
board machine, causal digraph, fault diagnosis, industrial application, Paper making
Other note
Citation
Cheng, H, Tikkala, V-M, Zakharov, A, Myller, T & Jamsa-Jounela, S-L 2011, ' Application of the Enhanced Dynamic Causal Digraph Method on a Three-Layer Board Machine ', IEEE Transactions on Control Systems Technology, vol. 19, no. 3, pp. 644-655 . https://doi.org/10.1109/TCST.2010.2051441