A computer-implemented method of predicting vehicle faults, the method comprising, at a data processing stage: receiving: i) sets of telematics data each associated with a vehicle identifier, and ii) a vehicle fault dataset, which records historic vehicle fault events, wherein the vehicle fault events are associated in the datasets with cooperating vehicle identifiers; for each of the vehicle identifiers, determining i) a feature object by processing the associated set of telematics data to determine at least one driving style parameter therefrom, the feature object comprising the at least one driving style parameter, and ii) a training label for the feature object based on one or more of the vehicle fault events associated with that vehicle identifier; and using the feature objects and their training labels to train a predictive component, executed at the data processing stage, to learn causal associations between the driving style parameters and the vehicle fault events, such that a feature object comprising at least one target driving style parameter, associated with a target vehicle, inputted to the trained predictive component causes the predictive component to output a corresponding vehicle fault prediction.


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    Title :

    PREDICTIVE VEHICLE DIAGNOSTIC METHOD



    Publication date :

    2021-03-25


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G07C TIME OR ATTENDANCE REGISTERS , Zeit- oder Anwesenheitskontrollgeräte / B60R Fahrzeuge, Fahrzeugausstattung oder Fahrzeugteile, soweit nicht anderweitig vorgesehen , VEHICLES, VEHICLE FITTINGS, OR VEHICLE PARTS, NOT OTHERWISE PROVIDED FOR / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen



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