According to the research experience of air-to-air missile testing, the occurences of some product faults are of low frequency and sporadic, and the fault features usually hide in the details of testing signals. However, the conventional rule-based fault detection methods are difficult to issue early warning against these product faults. In order to solve the problems of miss-detection faced by the conventional missile fault detection methods, this paper started from studying the data feature extraction, feature space construction, and automatic data mining, and carried out the research on engineering application of the data-driven fault detection technology. In view of the complexity of missile test data, the feature extraction of missile test data was achieved with the applications of mathematical statistics, clustering, artificial intelligence, image feature extraction, defining a method of missile fault detection based on the 3 σ \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$3\sigma$$\end{document} criterion, and a data-mining based fault diagnosis system was developed with the ability to evaluate product quality on the foundation of historical missile test data.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Research on Fault Detection Technology of Air-to-Air Missile Based on Data Mining


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Cui, Hao (author) / Yan, Jun (author) / Zhang, Pengpeng (author) / Yang, Dongsheng (author) / Chen, Zhiguang (author)


    Publication date :

    2021-11-02


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




    Research on Fault Detection Technology of Air-to-Air Missile Based on Data Mining

    Cui, Hao / Yan, Jun / Zhang, Pengpeng et al. | British Library Conference Proceedings | 2022


    Research on Fault Detection Technology of Air-to-Air Missile Based on Data Mining

    Cui, Hao / Yan, Jun / Zhang, Pengpeng et al. | TIBKAT | 2022


    Missile competing fault prediction based on degradation data and fault data

    Cong, Linhu / Xu, Tingxue / Wang, Qian et al. | British Library Online Contents | 2016


    Future missile technology

    Price, D. D. / Society of British Aerospace Companies / Royal Aeronautical Society et al. | British Library Conference Proceedings | 1998


    Research on Missile System with Strapdown Guidance Technology

    Feng, De Long ;Yang, Suo Chang ;Liu, Ying Xi | Trans Tech Publications | 2013