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

研究成果: Conference article査読

1 被引用数 (Scopus)

抄録

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.

本文言語English
論文番号6974345
ページ(範囲)2757-2763
ページ数7
ジャーナルConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
2014-January
January
DOI
出版ステータスPublished - 2014
イベント2014 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2014 - San Diego, United States
継続期間: 2014 10 52014 10 8

ASJC Scopus subject areas

  • 電子工学および電気工学
  • 制御およびシステム工学
  • 人間とコンピュータの相互作用

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