Robustness of syndrome analysis method in highly structured fault-diagnosis systems

Manabu Kobayashi; Masayuki Goto; Toshiyasu Matsushima; Shigeichi Hirasawa

doi:10.1109/smc.2014.6974345

Robustness of syndrome analysis method in highly structured fault-diagnosis systems

Manabu Kobayashi, Masayuki Goto, Toshiyasu Matsushima, Shigeichi Hirasawa

School of Fundamental Science and Engineering

Research output: Contribution to journal › Conference article › peer-review

1 Citation (Scopus)

Abstract

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.

Original language	English
Article number	6974345
Pages (from-to)	2757-2763
Number of pages	7
Journal	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
Volume	2014-January
Issue number	January
DOIs	https://doi.org/10.1109/smc.2014.6974345
Publication status	Published - 2014
Event	2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States Duration: 2014 Oct 5 → 2014 Oct 8

Keywords

Highly structured system
Multicomputer system
PMC model
Probabilistic fault diagnosis
System-level fault diagnosis

ASJC Scopus subject areas

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

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10.1109/smc.2014.6974345

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Robustness of syndrome analysis method in highly structured fault-diagnosis systems. / Kobayashi, Manabu ; Goto, Masayuki ; Matsushima, Toshiyasu et al.

In: Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Vol. 2014-January, No. January, 6974345, 2014, p. 2757-2763.

Research output: Contribution to journal › Conference article › peer-review

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Robustness of syndrome analysis method in highly structured fault-diagnosis systems

Abstract

Keywords

ASJC Scopus subject areas

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