QI CHENG, Member, IEEE
PRAMOD K. VARSHNEY, Fellow, IEEE
Syracuse University
JAMES H. MICHELS, Fellow, IEEE
JHM Technologies
CELESTE M. BELCASTRO
NASA Langley Research Center
Due to the growing demands for system reliability and availability of large amounts of data, efficient fault detection techniques for dynamic systems are desired. In this paper, we consider fault detection in dynamic systems monitored by multiple sensors. Normal and faulty behaviors can be modeled as two hypotheses. Due to communication constraints, it is assumed that sensors can only send binary data to the fusion center. Under the assumption of independent and identically distributed (IID) observations, we propose a distributed fault detection algorithm, including local detector design and decision fusion rule design, based on state estimation via particle filtering. Illustrative examples are presented to demonstrate the effectiveness of our approach.
Manuscript received January 11, 2006; revised July 22 and October
19, 2006; released for publication December 7, 2006.
IEEE Log No. T-AES/44/1/920399
Refereeing of this contribution was handled by T. Robertazzi.
This work was supported in part by NASA-Langley under Order
NNL04A127P.
Authors' current addresses: Q. Cheng, Dept. of Electrical and
Computer Engineering, Oklahoma State University, Stillwater,
OK; P. K. Varshney, Dept. of Electrical Engineering and Computer
Science, Syracuse University, Syracuse, NY 13244, E-mail:
(varshney@ecs.syr.edu); J. H. Michels, JHM Technologies, PO Box
4142, Ithaca, NY 14852; C. M. Belcastro, NASA Langley Research
Center, MS 130, Hampton, VA 23681.
0018-9251/08/$25.00 © 2008 IEEE