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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    Title :

    METHOD AND SYSTEM FOR FAULT DIAGNOSES OF INTELLIGENT VEHICLES


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

    Publication date :

    2022-04-21


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    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



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