Multiple faults diagnosis using causal graph

Details Multiple faults diagnosis using causal graph Multiple faults diagnosis using causal graph

2012-03-24

arxiv.org/abs/1203.5451v1

In the proceedings of The 6th IEEE International Multi- Conference On Systems, Signals Devices- SSD'09, Djerba, Tunisia, 23-26

Computer Science

Systems and Control

Scientific paper

This work proposes to put up a tool for diagnosing multi faults based on model using techniques of detection and localization inspired from the community of artificial intelligence and that of automatic. The diagnostic procedure to be integrated into the supervisory system must therefore be provided with explanatory features. Techniques based on causal reasoning are a pertinent approach for this purpose. Bond graph modeling is used to describe the cause effect relationship between process variables. Experimental results are presented and discussed in order to compare performance of causal graph technique and classic methods inspired from artificial intelligence (DX) and control theory (FDI).

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