TY - JOUR
T1 - Robustness of syndrome analysis method in highly structured fault-diagnosis systems
AU - Kobayashi, Manabu
AU - Goto, Masayuki
AU - Matsushima, Toshiyasu
AU - Hirasawa, Shigeichi
PY - 2014
Y1 - 2014
N2 - F. P. Preparata et al. proposed a fault diagnosis model (PMC model) to find all fault units in the multicomputer system by using outcomes that each unit tests some other units. T. Kohda proposed a highly structured(HS) system and the syndrome analysis method(SAM) to diagnose from local testing results. In this paper, we introduce the maximum a posteriori probability algorithm(MAPDA) for the HS system in the probabilistic fault model. Analyzing the MAPDA, we show that the SAM is closer to the MAPDA as the fault probability becomes smaller. Finally, we show the robustness of the SAM in the HS system.
AB - F. P. Preparata et al. proposed a fault diagnosis model (PMC model) to find all fault units in the multicomputer system by using outcomes that each unit tests some other units. T. Kohda proposed a highly structured(HS) system and the syndrome analysis method(SAM) to diagnose from local testing results. In this paper, we introduce the maximum a posteriori probability algorithm(MAPDA) for the HS system in the probabilistic fault model. Analyzing the MAPDA, we show that the SAM is closer to the MAPDA as the fault probability becomes smaller. Finally, we show the robustness of the SAM in the HS system.
KW - Highly structured system
KW - Multicomputer system
KW - PMC model
KW - Probabilistic fault diagnosis
KW - System-level fault diagnosis
UR - http://www.scopus.com/inward/record.url?scp=84938152080&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84938152080&partnerID=8YFLogxK
U2 - 10.1109/smc.2014.6974345
DO - 10.1109/smc.2014.6974345
M3 - Conference article
AN - SCOPUS:84938152080
SN - 1062-922X
VL - 2014-January
SP - 2757
EP - 2763
JO - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
JF - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
IS - January
M1 - 6974345
T2 - 2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014
Y2 - 5 October 2014 through 8 October 2014
ER -