Frequency of false alarms reduced. Faults in complicated dynamic system (e.g., antenna-aiming system, telecommunication network, or human heart) detected automatically by method of automated, continuous monitoring. Obtains time-series data by sampling multiple sensor outputs at discrete intervals of t and processes data via algorithm determining whether system in normal or faulty state. Algorithm implements, among other things, hidden first-order temporal Markov model of states of system. Mathematical model of dynamics of system not needed. Present method is "prior" method mentioned in "Improved Hidden-Markov-Model Method of Detecting Faults" (NPO-18982).


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    Titel :

    Detecting Faults By Use Of Hidden Markov Models


    Beteiligte:

    Erschienen in:

    Erscheinungsdatum :

    01.03.1995



    Medientyp :

    Sonstige


    Format :

    Keine Angabe


    Sprache :

    Englisch