Application of the Enhanced Dynamic Causal Digraph Method on a Three-Layer Board Machine

Tutkimustuotos: Lehtiartikkelivertaisarvioitu

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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.

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AlkuperäiskieliEnglanti
Sivut644-655
JulkaisuIEEE Transactions on Control Systems Technology
Vuosikerta19
Numero3
TilaJulkaistu - 2011
OKM-julkaisutyyppiA1 Julkaistu artikkeli, soviteltu

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