MULTIGRAPH: an architecture for model-integrated computing
ICECCS '95 Proceedings of the 1st International Conference on Engineering of Complex Computer Systems
Model-based diagnosis using structured system descriptions
Journal of Artificial Intelligence Research
Model-based diagnosis using causal networks
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 1
The effect of observations on the complexity of model-based diagnosis
AAAI'97/IAAI'97 Proceedings of the fourteenth national conference on artificial intelligence and ninth conference on Innovative applications of artificial intelligence
| Hi-index | 0.00 |
We describe an approach for modeling and diagnosing complex multi‐modal systems. A novel feature of this approach is the proposed method for integrating multiple specification modalities. We apply this approach to a real‐world rocket engine turbopump. The example model consists of two sub‐models, one describing liquid flows, and one describing mechanical vibrations. Typical methods for modeling such systems will treat these two modalities as being completely disjoint, even though they have significant interactions. We describe a method for integrating these sub‐models using variables that play different roles in the different sub‐models. We focus on how the integrated causal network model allows us to diagnose a more complete and physically plausible set of faults than by using the independent sub‐models.