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. In order to represent the causal relations between the variables using state space models, a linearity test was performed for the short circulation sub process in the papermaking simulator. The corresponding causal digraph model was constructed, identified and used to detect and locate the artificial fault in the simulation environment. The studied fault was a fiber retention rate drop on the wire.
|Title of host publication||4th Workshop on Advanced Control and Diagnosis, Nancy, November 2006|
|Publication status||Published - 2006|
|MoE publication type||A4 Article in a conference publication|
- fault detection
- fault isolation
- causal digraph
- APROS simulator