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| Title | Robustness of Syndrome Analysis Method in Highly Structured Fault-Diagnosis Systems (in Japanese) |
|---|---|
| Authors | Manabu Kobayashi 、Masayuki Goto 、Toshiyasu Matsushima 、Shigeichi Hirasawa |
| Released Year | 2014 |
| Format | International Conference |
| Category | Others |
| Jounal Name | Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics |
| Jounal Page | pp.2815-2821, San Diego, CA, USA |
| Published Year | 2014 |
| Published Month | 10 |
| Abstract （English） |
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. |
| Note （English） |
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