タイトル | Robustness of Syndrome Analysis Method in Highly Structured Fault-Diagnosis Systems |
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著者 | 小林学 、後藤正幸 、松嶋敏泰 、平澤茂一 |
年度 | 2014 |
形式 | 国際学会 |
分野 | その他 |
掲載雑誌名 | Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics |
掲載号・ページ | pp.2815-2821, San Diego, CA, USA |
掲載年 | 2014 |
掲載月 | 10 |
アブスト (日本語) |
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC2014) 2014年10月5日~8日 San Diego, CA, USA |
アブスト (英語) |
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. |
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備考 (英語) |
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