A smart exception handler system for safety-critical real-time systems is provided. The system is configured to: receive a plurality of parameters at a plurality of nodal points in a real-time execution path; analyze the received parameters using a trained exception handling model, wherein the trained exception handling model has been trained using machine learning techniques to learn the critical path of execution and/or critical range of parameters at critical nodes, wherein the critical range of parameters comprises a learned threshold at a node; compute, using the trained exception handling model, a probability of fault at the critical nodes; compare the probability of fault at a critical node against a learned threshold at the node; and take proactive action in real-time to avoid the occurrence of a fault when the probability of fault at the node is higher than the learned threshold at the node.


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    Title :

    AUGMENTED EXCEPTION PROGNOSIS AND MANAGEMENT IN REAL TIME SAFETY CRITICAL EMBEDDED APPLICATIONS


    Additional title:

    ERWEITERTE AUSNAHMEPROGNOSE UND VERWALTUNG IN ECHTZEIT IN SICHERHEITSKRITISCHEN EINGEBETTETEN ANWENDUNGEN
    PRONOSTIC ET GESTION AMÉLIORÉS DES EXCEPTIONS DANS LES APPLICATIONS EMBARQUÉES CRITIQUES POUR LA SÉCURITÉ EN TEMPS RÉEL


    Contributors:

    Publication date :

    2020-09-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / G05B Steuer- oder Regelsysteme allgemein , CONTROL OR REGULATING SYSTEMS IN GENERAL / G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



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