IEICE TRANSACTIONS on Fundamentals
Probabilistic Fault Diagnosis and its Analysis in Multicomputer Systems
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E101-A No.12 pp.2072-2081
- Publication Date
- 2018/12/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E101.A.2072
- Type of Manuscript
- Special Section PAPER (Special Section on Information Theory and Its Applications)
- Category
- Coding theory and techniques
Authors
Manabu KOBAYASHI
Waseda University
Toshiyasu MATSUSHIMA
Waseda University
Shigeichi HIRASAWA
Waseda University
Keyword
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Manabu KOBAYASHI, Toshiyasu MATSUSHIMA, Shigeichi HIRASAWA, "Probabilistic Fault Diagnosis and its Analysis in Multicomputer Systems" in IEICE TRANSACTIONS on Fundamentals,
vol. E101-A, no. 12, pp. 2072-2081, December 2018, doi: 10.1587/transfun.E101.A.2072.
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.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E101.A.2072/_p
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@ARTICLE{e101-a_12_2072,
author={Manabu KOBAYASHI, Toshiyasu MATSUSHIMA, Shigeichi HIRASAWA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Probabilistic Fault Diagnosis and its Analysis in Multicomputer Systems},
year={2018},
volume={E101-A},
number={12},
pages={2072-2081},
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.},
keywords={},
doi={10.1587/transfun.E101.A.2072},
ISSN={1745-1337},
month={December},}
Copy
TY - JOUR
TI - Probabilistic Fault Diagnosis and its Analysis in Multicomputer Systems
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2072
EP - 2081
AU - Manabu KOBAYASHI
AU - Toshiyasu MATSUSHIMA
AU - Shigeichi HIRASAWA
PY - 2018
DO - 10.1587/transfun.E101.A.2072
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E101-A
IS - 12
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - December 2018
AB - 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.
ER -
English
