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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Optimizing model size in diagnosing complex aerospace systems


    Contributors:
    Provan, G. (author)


    Publication date :

    2001-01-01


    Size :

    841548 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Complex Aerospace Systems Engineering Education

    Flumerfelt, Shannon / Schwartz, Katherine G. / Mavris, Dimitri et al. | AIAA | 2019


    Optimizing Complex Systems

    Haupt, S. E. / Haupt, R. / IEEE; Aerospace and Electronics Systems Society | British Library Conference Proceedings | 1998



    Aerospace complex

    TIBKAT | Nachgewiesen 3.2004 - 5.2006; damit Ersch. eingest.