Distributed fault detection via particle filtering and decision fusion

Cheng Qi, Pramod K. Varshney, James Michels, Celeste M. Belcastro

Research output: Chapter in Book/Report/Conference proceedingConference contribution

21 Scopus citations

Abstract

Due to the growing demands for system reliability and availability of large amounts of data, efficient fault detection techniques are desired. In this paper, we consider nonlinear, non-Gaussian systems monitored by multiple sensors. Normal and faulty behaviors can be modelled as two hypotheses. Due to the communication constraints, it is assumed that sensors can only send binary data to the fusion center. Under the assumption of independent, identically distributed observations, we propose a distributed fault detection algorithm, including local detector design and decision fusion rule design, based on the state estimation by particle filtering. Experimental results show the efficiency of our proposed algorithm and its superiority over the conventional Kalman filter-based methods.

Original languageEnglish (US)
Title of host publication2005 7th International Conference on Information Fusion, FUSION
PublisherIEEE Computer Society
Pages1239-1246
Number of pages8
ISBN (Print)0780392868, 9780780392861
DOIs
StatePublished - Jan 1 2005
Event2005 8th International Conference on Information Fusion, FUSION - Philadelphia, PA, United States
Duration: Jul 25 2005Jul 28 2005

Publication series

Name2005 7th International Conference on Information Fusion, FUSION
Volume2

Conference

Conference2005 8th International Conference on Information Fusion, FUSION
CountryUnited States
CityPhiladelphia, PA
Period7/25/057/28/05

Keywords

  • Decision fusion
  • Fault detection
  • Integrated vehicle health management
  • Particle filtering

ASJC Scopus subject areas

  • Engineering(all)

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  • Cite this

    Qi, C., Varshney, P. K., Michels, J., & Belcastro, C. M. (2005). Distributed fault detection via particle filtering and decision fusion. In 2005 7th International Conference on Information Fusion, FUSION (pp. 1239-1246). [1591999] (2005 7th International Conference on Information Fusion, FUSION; Vol. 2). IEEE Computer Society. https://doi.org/10.1109/ICIF.2005.1591999