A model of a system of an intelligent vehicle is trained and optimized using system operation data of the intelligent vehicle in a normal running state. The system operation data of the intelligent vehicle in a running state is collected in real time. Sensor data of the system operation data is de-noised, and feature extraction and screening are performed for a fatal sensor fault to reconstruct the system operation data. The reconstructed system operation data is inputted into the trained model to output system state data of the intelligent vehicle in the running state. The system state data is compared with a set threshold. If the system state data exceeds the set threshold, an actuator corresponding to the system state data is determined to have a fault. In addition, a system for a fault diagnosis of the intelligent vehicle is further provided.


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    Titel :

    METHOD AND SYSTEM FOR FAULT DIAGNOSES OF INTELLIGENT VEHICLES


    Beteiligte:
    ZHAO XIANGMO (Autor:in) / MIN HAIGEN (Autor:in) / FANG YUKUN (Autor:in) / WU XIA (Autor:in) / XU ZHIGANG (Autor:in) / WANG RUNMIN (Autor:in) / LIU ZHANWEN (Autor:in) / GONG SIYUAN (Autor:in) / ZHU YU (Autor:in) / WANG WUQI (Autor:in)

    Erscheinungsdatum :

    2022-04-21


    Medientyp :

    Patent


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    IPC:    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 / G01S RADIO DIRECTION-FINDING , Funkpeilung



    Method and system for fault diagnoses of intelligent vehicles

    ZHAO XIANGMO / MIN HAIGEN / FANG YUKUN et al. | Europäisches Patentamt | 2023

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