Distributed architecture for prognostics is an essential step in prognostic research in order to enable feasible real-time system health management. Communication overhead is an important design problem for such systems. In this paper we focus on communication issues faced in the distributed implementation of an important class of algorithms for prognostics - particle filters. In spite of being computation and memory intensive, particle filters lend well to distributed implementation except for one significant step - resampling. We propose new resampling scheme called parameterized resampling that attempts to reduce communication between collaborating nodes in a distributed wireless sensor network. Analysis and comparison with relevant resampling schemes are also presented. A battery health management system is used as a target application.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Communication optimizations for a wireless distributed prognostic framework


    Contributors:


    Publication date :

    2009-03-01


    Size :

    704045 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Distributed Optimizations Using Optimal Solution Sensitivity

    Tribes, C. / Trepanier, J. / American Institute of Aeronautics and Astronautics | British Library Conference Proceedings | 2006


    Distributed Optimizations Using Optimal Solution Sensitivity

    Tribes, Christophe / Trépanier, Jean-Yves | AIAA | 2006


    Resonator optimizations for wireless energy transfer

    KURS ANDRE B / HALL KATHERINE L / KESLER MORRIS P et al. | European Patent Office | 2016

    Free access

    Secrecy Rate Optimizations for MIMO Communication Radar

    Deligiannis, Anastasios / Daniyan, Abdullahi / Lambotharan, Sangarapillai et al. | IEEE | 2018

    Free access

    Mission integrated analyses and optimizations

    Van Spakovsky, M. / Von Karman Institute for Fluid Dynamics | British Library Conference Proceedings | 2012