The invention belongs to the technical field of unmanned driving application, and particularly relates to an unmanned vehicle fault diagnosis method based on deep reinforcement learning and an expert knowledge base. According to the method, through deep fusion of deep reinforcement learning and expert knowledge, the advantages of the deep reinforcement learning and the expert knowledge can be better exerted in the field of unmanned vehicle fault diagnosis. According to the technical scheme, based on an expert knowledge base and a complete training sample, model training is carried out through a deep reinforcement learning algorithm, and a deep reinforcement learning knowledge system is obtained; according to a deep reinforcement learning knowledge system and an expert knowledge base, establishing an explanation library between fault names and diagnosis data; according to the invention, the method achieves the diagnosis of the preprocessed unmanned vehicle data based on a deep reinforcement learning knowledge system, outputs a fault name through an explanation library, and updates the knowledge system and the explanation library if the fault has no solution, thereby effectively improving the detection range of the fault, and reducing the safety accidents caused by the fault of the unmanned vehicle.

    本发明属于无人驾驶应用技术领域,尤其涉及一种基于深度强化学习和专家知识库的无人车故障诊断方法。本发明通过深度强化学习和专家知识的深度融合,使二者在无人车故障诊断领域更好地发挥其优势。本发明技术方案中,基于专家知识库和完整的训练样本,通过深度强化学习算法进行模型训练,得到深度强化学习知识系统;根据深度强化学习知识系统和专家知识库,建立故障名称和诊断数据之间的解释库;基于深度强化学习知识系统实现对预处理后的无人车数据的诊断,并通过解释库输出故障名称,若该故障无解则更新知识系统和解释库,从而有效提升了故障的检测范围,减少了无人车因故障引起的安全事故的发生。


    Access

    Download


    Export, share and cite



    Title :

    Unmanned vehicle fault diagnosis method based on deep reinforcement learning and expert knowledge base


    Additional title:

    基于深度强化学习和专家知识库的无人车故障诊断方法


    Contributors:
    FENG XUAN (author) / XU RONGGE (author) / LAN WEI (author) / MA WENBO (author) / GUO QIANG (author)

    Publication date :

    2023-01-31


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    Chinese


    Classification :

    IPC:    G06F ELECTRIC DIGITAL DATA PROCESSING , Elektrische digitale Datenverarbeitung / 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 / G06N COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS , Rechnersysteme, basierend auf spezifischen Rechenmodellen




    Hydrogen fuel unmanned aerial vehicle energy management method based on deep reinforcement learning

    WU YU / ZHANG MINGXUAN / WANG YUYANG et al. | European Patent Office | 2021

    Free access


    Fault diagnosis equipment for unmanned aerial vehicle

    FU WENZHONG / LIU JIANFENG / HUANG JINGLIN | European Patent Office | 2023

    Free access