Quick and accurate fault detection is critical to the operation of modern dynamic systems. In this paper, the fault detection problem when using multiple sensors is investigated. At each time step, local sensors transmit binary data to the fusion center, where decision fusion is performed to detect the potential occurrence of a fault. Since the sensors observe a common dynamic process, their measurements, and thus the local decisions, are correlated. Under a likelihood-ratio-based local decision rule constraint, we propose efficient suboptimal system designs involving local sensor rules and fusion rule that include the correlation consideration. Two correlation models are proposed to approximate the complicated correlation between sensor measurements for general systems. Experimental results show that the designs with correlation consideration outperform the design under the independence assumption significantly when the correlation between sensor measurements is strong.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Distributed Fault Detection with Correlated Decision Fusion


    Beteiligte:
    Qi Cheng, (Autor:in) / Varshney, P.K. (Autor:in) / Michels, J.H. (Autor:in) / Belcastro, C.M. (Autor:in)


    Erscheinungsdatum :

    2009-10-01


    Format / Umfang :

    2809355 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Soft-Decision-Based Distributed Detection With Correlated Sensing Channels

    Kasasbeh, Hadi / Cao, Lei / Viswanathan, Ramanarayanan | IEEE | 2019


    Blind adaptive decision fusion for distributed detection

    Mirjalily, G. / Zhi-Quan Luo, / Davidson, T.N. et al. | IEEE | 2003


    Blind Adaptive Decision Fusion for Distributed Detection

    Mirjalily, G. | Online Contents | 2003


    Fault detection in dynamic systems via decision fusion

    Qi Cheng, / Varshney, P.K. / Belcastro, C.M. | IEEE | 2008