An Efficient Algorithm for Finding Minimal Overconstrained Subsystems for Model-Based Diagnosis

@article{Krysander2008AnEA,
  title={An Efficient Algorithm for Finding Minimal Overconstrained Subsystems for Model-Based Diagnosis},
  author={Mattias Krysander and Jan {\AA}slund and Mattias Nyberg},
  journal={IEEE Transactions on Systems, Man, and Cybernetics - Part A: Systems and Humans},
  year={2008},
  volume={38},
  pages={197-206}
}
In model-based diagnosis, diagnostic system construction is based on a model of the technical system to be diagnosed. To handle large differential algebraic imemodels and to achieve fault isolation, a common strategy is to pick out small overconstrained parts of the model and to test these separately against measured signals. In this paper, a new algorithm for computing all minimal overconstrained subsystems in a model is proposed. For complexity comparison, previous algorithms are recalled. It… CONTINUE READING
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