The paper proposes new ontologies for describing and diagnosing malfunctions of subsystems of autonomous underwater vehicles (AUV) as a part of the development of a previously created approach to the intelligent diagnosis of these vehicles using knowledge bases. To implement this approach, it is proposed to use two knowledge bases, one of which describes malfunctions, features for their identification and actions necessary to adapt to the negative consequences caused by the appearance of these malfunctions. The other database contains information about the main subsystems of the AUV, devices and replaceable modules, as well as the states they may be in. Knowledge bases are used in the work of the intelligent control-emergency system (ICES) on board the AUV, which allows for comprehensive functional diagnostics of all subsystems of the device, including payload modules, as well as adaptation to the consequences of emerging malfunctions, taking into account the actual cause-and-effect relationships between them. To test the system’s operability, a prototype was developed. The results of the prototype simulation showed that ICES performs the tasks and can be implemented on the onboard computers of existing AUV using well-known programming technologies.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Description and fault diagnosis in autonomous underwater vehicles based on ontologies




    Publication date :

    2022-10-05


    Size :

    465048 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Thruster fault diagnosis method based on Gaussian particle filter for autonomous underwater vehicles

    Yu-shan Sun / Xiang-rui Ran / Yue-ming Li et al. | DOAJ | 2016

    Free access

    Sensor fault diagnosis in autonomous underwater vehicle

    Pisarets, A.P. / Zhirabok, A.N. | Tema Archive | 2003


    Autonomous underwater vehicles

    MCENTEE JARLATH / HAYES NATHANIAL / FIREBAUGH MILLARD | European Patent Office | 2024

    Free access

    AUTONOMOUS UNDERWATER VEHICLES

    MCENTEE JARLATH / HAYES NATHANIAL / FIREBAUGH MILLARD | European Patent Office | 2020

    Free access

    Autonomous Underwater Vehicles

    Cruz, Nuno A. | GWLB - Gottfried Wilhelm Leibniz Bibliothek | 2011

    Free access