Systems, methods, and computer-readable storage media for training a Recurrent Neural Network to evaluate sensor data related to a brake rotor, then diagnosing brake rotors using sensor data and the trained Recurrent Neural Network. Sensor data can include audio data, temperature data, caliper pressure data, and/or any other data related to operation of the brake rotor being evaluated. When a processor is configured to execute the trained Recurrent Neural Network, sensor inputs can be provided to the processor, with the output being a diagnosis of the brake rotor state.


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    Titel :

    COMMERCIAL VEHICLES ROTOR CRACKING PREDICTION USING RECURRENT NEURAL NETWORK


    Beteiligte:

    Erscheinungsdatum :

    2023-10-19


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    G06Q Datenverarbeitungssysteme oder -verfahren, besonders angepasst an verwaltungstechnische, geschäftliche, finanzielle oder betriebswirtschaftliche Zwecke, sowie an geschäftsbezogene Überwachungs- oder Voraussagezwecke , DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES / B60T Bremsanlagen für Fahrzeuge oder Teile davon , VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF



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