A probabilistic approach to hierarchical model-based diagnosis
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abstract: Model-based diagnosis reasons backwards from a functional schematic ofa system to isolate faults given observations of anomalous behavior.We develop a fully probabilistic approach to model based diagnosis andextend it to support hierarchical models. Our scheme translates thefunctional schematic into a Bayesian network and diagnostic inferencetakes place in the Bayesian network. A Bayesian network diagnosticinference algorithm is modified to take advantage of the hierarchy togive computational gains.
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| Abstract | Model-based diagnosis reasons backwards fr … Model-based diagnosis reasons backwards from a functional schematic ofa system to isolate faults given observations of anomalous behavior.We develop a fully probabilistic approach to model based diagnosis andextend it to support hierarchical models. Our scheme translates thefunctional schematic into a Bayesian network and diagnostic inferencetakes place in the Bayesian network. A Bayesian network diagnosticinference algorithm is modified to take advantage of the hierarchy togive computational gains. the hierarchy togive computational gains. |
| Author | Sampath Srinivas + |
| Bibtype | techreport + |
| Institution | Knowledge Systems, AI Laboratory + |
| Key | KSL-94-14 + |
| Month | February + |
| Number | KSL-94-14 + |
| Tag | Computer science + |
| Title | A Probabilistic Approach to Hierarchical Model-Based Diagnosis + |
| Tr id | KSL-94-14 + |
| Year | 1994 + |
