Describes a model-based approach for efficiently diagnosing complex aerospace systems with structural replication, i.e., the occurrence of multiple copies of components within a system. Model-based diagnostics provide the capability for high-fidelity, component-based diagnostics, but are typically both memory- and computation-intensive. We describe a component-based technique that reduces the memory and computation requirements of a model by taking advantage of structural replication without sacrificing diagnostic completeness or soundness. For example, in many systems it is common to have doubly- or triply-redundant sub-systems for improved system reliability. In other domains, a large system is composed of multiple replications of a small set of components. In either case, this component-based approach allows us to take advantage of the structural replication to produce a smaller model, which provide the same guarantees of diagnostic completeness and soundness as the traditional model.
Optimizing model size in diagnosing complex aerospace systems
2001 IEEE Aerospace Conference Proceedings (Cat. No.01TH8542) ; 7 ; 7-3286 vol.7
2001-01-01
841548 byte
Aufsatz (Konferenz)
Elektronische Ressource
Englisch
Complex Aerospace Systems Engineering Education
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