Empirical Bayes Estimation of the Reliability of Nuclear-Power-Plant Emergency Diesel Generators
作者:
HarryF. Martz,
PaulH. Kvam,
LeeR. Abramson,
期刊:
Technometrics
(Taylor Available online 1996)
卷期:
Volume 38,
issue 1
页码: 11-24
ISSN:0040-1706
年代: 1996
DOI:10.1080/00401706.1996.10484412
出版商: Taylor & Francis Group
关键词: Beta prior distribution;Binomial sampling;Diesel-generator reliability;Geometric sampling;Parametric empirical Bayes;Reliability
数据来源: Taylor
摘要:
For a binomial sampling model using pass/fail data and a beta prior distribution, parametric empirical Bayes (PEB) point and credibility interval estimates are provided for the time-and-diesel average emergency diesel generator (EDG) reliability to load-run on demand at 63 U.S. commercial nuclear power stations. For a geometric sampling model and a beta prior distribution, similar estimates of the time-dependent EDG-average reliability are also obtained for four plants. This is an expository article that introduces seven practical steps, involving both model validation and inference, in applying modern PEB methods. It also illustrates some important advantages of using industry-wide data to make inferences on individual items.
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