Joint state monitoring and fault detection using distributed particle filtering

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

6 Scopus citations

Abstract

A distributed particle filtering approach is proposed for fault detection in dynamic systems, where an interacting multiple model particle filter is used at each sensor for joint discrete mode (denoting normal or faulty situations) and continuous state tracking. Adaptive approximations of local state posterior distributions by histograms are aggregated to obtain the final decision regarding the system mode. By increasing the number of sensors, the uncertainty associated with the system mode reduces. Due to communication constraints, the number of bins used for histogram approximation is dynamically adjusted according to the mode distribution. Thus, better performance can be achieved compared with systems without this adaptation.

Original languageEnglish (US)
Title of host publicationConference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC
Pages715-719
Number of pages5
DOIs
StatePublished - Dec 1 2007
Event41st Asilomar Conference on Signals, Systems and Computers, ACSSC - Pacific Grove, CA, United States
Duration: Nov 4 2007Nov 7 2007

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393

Other

Other41st Asilomar Conference on Signals, Systems and Computers, ACSSC
CountryUnited States
CityPacific Grove, CA
Period11/4/0711/7/07

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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  • Cite this

    Cheng, Q., & Varshney, P. K. (2007). Joint state monitoring and fault detection using distributed particle filtering. In Conference Record of the 41st Asilomar Conference on Signals, Systems and Computers, ACSSC (pp. 715-719). [4487308] (Conference Record - Asilomar Conference on Signals, Systems and Computers). https://doi.org/10.1109/ACSSC.2007.4487308