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).


    Access

    Access via TIB

    Check availability in my library


    Export, share and cite



    Title :

    Detecting Faults By Use Of Hidden Markov Models


    Contributors:

    Published in:

    Publication date :

    1995-03-01



    Type of media :

    Miscellaneous


    Type of material :

    No indication


    Language :

    English