Fault detection using reduced order models

S. Daley, H. Wang

    Research output: Contribution to journalArticlepeer-review


    Based on the reduction of dynamic system models, an algebraic redundancy method is proposed which consists of fault detection through the redundant variables and fault diagnosis using a diagnostic matrix. This diagnostic matrix approach, which is an extension of the influence matrix method, is capable of identifying different combinations of failure modes. It is shown that this method can produce a correct diagnosis for the failure of sensors and actuators and can also detect changes in the system parameters.
    Original languageEnglish
    Pages (from-to)153-164
    Number of pages11
    JournalProceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
    Issue number3
    Publication statusPublished - 1993


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