In order to diagnose sensor faults in navigation system timely and accurately, a fault diagnosis method based on multi-sensor information fusion is proposed. In this paper, the redundant sensor information of the integrated navigation system is used to calculate the direction cosine similarity of the information vector, and then a Kalman filter is designed for INS/GPS data information fusion. Based on the optimal estimation, the deviation of the measured value of each sensor is obtained. Finally, the sensor injection fault scheme is verified on the semi-physical simulation platform. The experimental results show that the method can diagnose each fault type of sensor.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Integrated Navigation Fault Diagnosis Method Based on Multi-sensor Information Fusion


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Xu, Ruizhen (author) / Chen, Xin (author) / Liang, Yao (author)


    Publication date :

    2021-10-30


    Size :

    9 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Integrated Navigation Fault Diagnosis Method Based on Multi-sensor Information Fusion

    Xu, Ruizhen / Chen, Xin / Liang, Yao | British Library Conference Proceedings | 2022


    Integrated Multi-Aperture Sensor and Navigation Fusion

    Soloviev, A. / Touma, J. / Klausutis, T. et al. | British Library Conference Proceedings | 2009


    Fault diagnosis for hydraulic system on a modified multi-sensor information fusion method

    Dong,Z. / Zhang,X. / Zeng,J. et al. | Automotive engineering | 2013


    ELEVATOR SAFETY FAULT DIAGNOSIS METHOD BASED ON MULTI-SOURCE INFORMATION FUSION

    ZHANG QIANG / MA ZHONGJUN / TIAN YING et al. | European Patent Office | 2024

    Free access