A method for signal anomaly detection includes receiving at least one signal and determining, using at least one machine learning anomaly detection model, whether a value associated with the at least one signal is within a range of an expected value. The method also includes, in response to a determination that the value associated with the at least one signal is not within the range of the expected value, incrementing a counter, and, in response to a determination that a value of the counter is greater than or equal to a threshold value, identifying, based on the at least one signal, signal anomaly information. The method also includes communicating the signal anomaly information to a remote computing device, receiving, from the remote computing device, diagnostics information responsive to the signal anomaly information, and, in response to receiving the diagnostics information, initiating at least one corrective action procedure.


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    Titel :

    SYSTEMS AND METHODS FOR APPLYING MACHINE LEARNING BASED ANOMALY DETECTION IN A CONSTRAINED NETWORK


    Beteiligte:
    ROBINSON BERNARD C (Autor:in) / SCHMITT PETER D (Autor:in) / HIRSCHER JONATHAN (Autor:in) / TOSH OWEN K (Autor:in) / STORY MICHAEL R (Autor:in) / QUAGGIOTTO EMILIO (Autor:in) / KLESING JOACHIM J (Autor:in) / FRANK ANDREW J (Autor:in)

    Erscheinungsdatum :

    2023-10-26


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60W CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION , Gemeinsame Steuerung oder Regelung von Fahrzeug-Unteraggregaten verschiedenen Typs oder verschiedener Funktion / G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte



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