False alarm is the phenomenon that built-in test or other detection module indicates fault problem but actually no fault exists. High false alarm rate severely restricts the development of built-in test system. This paper reveals that doing extra processing on the intrinsic mode functions obtained from empirical mode decomposition, we can establish a filter with good performance in reducing false alarm rate. Simulations are carried out on steering gear feedback voltage signal of target drone aircraft, and the results show great improvement for built-in test signal to reduce false alarm phenomenon.


    Access

    Access via TIB

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Empirical mode decomposition based reducing false alarm filter for built-in test signal


    Contributors:
    Zhang, Miao (author) / Shen, Yi (author) / Li, Xin (author) / Wang, Zhibo (author) / Zhang, Xiaolei (author) / Gao, Yanchao (author) / Ji, Yanju (author)


    Publication date :

    2011


    Size :

    5 Seiten, 8 Quellen




    Type of media :

    Conference paper


    Type of material :

    Print


    Language :

    English






    The Application of Neural Network Technology to Built-In Test False Alarm Filtering

    Press, R. / Aylstock, F. / Learoyd, C. et al. | British Library Conference Proceedings | 1993



    On false alarm mitigation

    Bock, J.R. / Brotherton, T. / Grabill, P. et al. | IEEE | 2006