Methods for Determining Failure-Data Collection Scheme of System Components by Bayesian Technique
Summary :
If there is high uncertainty in the reliability of a system, it is required to know for which components to collect further failure data for making the uncertainty lower. This paper provides some solutions for such a requirement. First, the variance importance of a component is defined as a measure of component's contribution to the variance of the distribution of system unreliability. For reducing the system-variance efficiently, it would be suitable to collect failure data of comopnents having greater values of variance importance. Next, in the situation that we will perform life tests of components for making the variance of the distribution of system failure-rate smaller than its prior value, some problems for determinig both the number of samples to be tested and the test time for each component are formulated and solved.
- Publication
- IEICE TRANSACTIONS on transactions Vol.E65-E No.4 pp.194-201
- Publication Date
- 1982/04/25
- Publicized
- Online ISSN
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- Type of Manuscript
- PAPER
- Category
- Miscellaneous
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Kyoichi NAKASHIMA, Kazuharu YAMATO, Tsuyoshi KAMADA, "Methods for Determining Failure-Data Collection Scheme of System Components by Bayesian Technique" in IEICE TRANSACTIONS on transactions,
vol. E65-E, no. 4, pp. 194-201, April 1982, doi: .
Abstract: If there is high uncertainty in the reliability of a system, it is required to know for which components to collect further failure data for making the uncertainty lower. This paper provides some solutions for such a requirement. First, the variance importance of a component is defined as a measure of component's contribution to the variance of the distribution of system unreliability. For reducing the system-variance efficiently, it would be suitable to collect failure data of comopnents having greater values of variance importance. Next, in the situation that we will perform life tests of components for making the variance of the distribution of system failure-rate smaller than its prior value, some problems for determinig both the number of samples to be tested and the test time for each component are formulated and solved.
URL: https://global.ieice.org/en_transactions/transactions/10.1587/e65-e_4_194/_p
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@ARTICLE{e65-e_4_194,
author={Kyoichi NAKASHIMA, Kazuharu YAMATO, Tsuyoshi KAMADA, },
journal={IEICE TRANSACTIONS on transactions},
title={Methods for Determining Failure-Data Collection Scheme of System Components by Bayesian Technique},
year={1982},
volume={E65-E},
number={4},
pages={194-201},
abstract={If there is high uncertainty in the reliability of a system, it is required to know for which components to collect further failure data for making the uncertainty lower. This paper provides some solutions for such a requirement. First, the variance importance of a component is defined as a measure of component's contribution to the variance of the distribution of system unreliability. For reducing the system-variance efficiently, it would be suitable to collect failure data of comopnents having greater values of variance importance. Next, in the situation that we will perform life tests of components for making the variance of the distribution of system failure-rate smaller than its prior value, some problems for determinig both the number of samples to be tested and the test time for each component are formulated and solved.},
keywords={},
doi={},
ISSN={},
month={April},}
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TY - JOUR
TI - Methods for Determining Failure-Data Collection Scheme of System Components by Bayesian Technique
T2 - IEICE TRANSACTIONS on transactions
SP - 194
EP - 201
AU - Kyoichi NAKASHIMA
AU - Kazuharu YAMATO
AU - Tsuyoshi KAMADA
PY - 1982
DO -
JO - IEICE TRANSACTIONS on transactions
SN -
VL - E65-E
IS - 4
JA - IEICE TRANSACTIONS on transactions
Y1 - April 1982
AB - If there is high uncertainty in the reliability of a system, it is required to know for which components to collect further failure data for making the uncertainty lower. This paper provides some solutions for such a requirement. First, the variance importance of a component is defined as a measure of component's contribution to the variance of the distribution of system unreliability. For reducing the system-variance efficiently, it would be suitable to collect failure data of comopnents having greater values of variance importance. Next, in the situation that we will perform life tests of components for making the variance of the distribution of system failure-rate smaller than its prior value, some problems for determinig both the number of samples to be tested and the test time for each component are formulated and solved.
ER -
English
