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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    Title :

    COMMERCIAL VEHICLES ROTOR CRACKING PREDICTION USING RECURRENT NEURAL NETWORK


    Additional title:

    ROTORRISSVORHERSAGE FÜR NUTZFAHRZEUGE UNTER VERWENDUNG EINES REKURRENTEN NEURONALEN NETZWERKS
    PRÉDICTION DE CRAQUAGE DE ROTOR DE VÉHICULES UTILITAIRES À L'AIDE D'UN RÉSEAU NEURONAL RÉCURRENT


    Contributors:

    Publication date :

    2023-07-19


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen / B60T Bremsanlagen für Fahrzeuge oder Teile davon , VEHICLE BRAKE CONTROL SYSTEMS OR PARTS THEREOF / F16D COUPLINGS FOR TRANSMITTING ROTATION , Nicht schaltbare Kupplungen



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