Optimal input design for fault detection and diagnosis

Payman Sadegh, Henrik Madsen, J. Holst

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    Abstract

    In the paper, the design of optimal input signals for detection and diagnosis in a stochastic dynamical system is investigated. The design is based on maximization of Kullback measure between the model under fault and the model under normal operation conditions. It is established that the optimal input design for change detection when the magnitude of change is small is equivalent to optimal input design for parameter estimation
    Original languageEnglish
    Title of host publicationProceedings of the American Control Conference
    VolumeVolume 2
    PublisherIEEE
    Publication date1995
    Pages1147-1148
    ISBN (Print)07-80-32445-5
    Publication statusPublished - 1995
    Event1995 American Control Conference - Seattle, WA, United States
    Duration: 21 Jun 199523 Jun 1995
    http://www-control.eng.cam.ac.uk/extras/conferences/ACC95.html

    Conference

    Conference1995 American Control Conference
    CountryUnited States
    CitySeattle, WA
    Period21/06/199523/06/1995
    Internet address

    Bibliographical note

    Copyright: 1995 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE

    Cite this

    Sadegh, P., Madsen, H., & Holst, J. (1995). Optimal input design for fault detection and diagnosis. In Proceedings of the American Control Conference (Vol. Volume 2, pp. 1147-1148). IEEE.