Abstract
F.P. Preparata et al. have proposed a fault diagnosis model to find all faulty units in the multicomputer system by using outcomes which each unit tests some other units. In this paper, for probabilistic diagnosis models, we show an efficient diagnosis algorithm to obtain a posteriori probability that each of units is faulty given the test outcomes. Furthermore, we propose a method to analyze the diagnostic error probability of this algorithm.
Original language | English |
---|---|
Pages (from-to) | 2072-2081 |
Number of pages | 10 |
Journal | IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences |
Volume | E101A |
Issue number | 12 |
DOIs | |
Publication status | Published - 2018 Dec |
Keywords
- Density evolution
- Intermittent faults
- Multicomputer systems
- Proba-bilistic fault diagnosis
- System-level fault diagnosis
ASJC Scopus subject areas
- Signal Processing
- Computer Graphics and Computer-Aided Design
- Electrical and Electronic Engineering
- Applied Mathematics