Bayesian estimation of unavailability

Corwin L. Atwood

doi:10.1016/j.ress.2003.11.010

2004-06-01

PRE

Corwin L. Atwood

Max Engelhardt

DOI：10.1016/j.ress.2003.11.010

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摘要

En 中文

This paper gives two Bayesian methods for estimating test-and-maintenance unavailability. Both unplanned and periodic maintenance are considered. One estimation method uses 'detailed data,' the individual outage times. The other method uses 'summary data,' totals of outage time and exposure time in various time periods such as calendar months. Either method can use either a noninformative or an informative prior distribution. Both methods are illustrated with an example data set, and the results are compared. (C) 2003 Elsevier Ltd. All rights reserved.

Keyword:

alternating renewal process

quantile-quantile plots

data aggregations exponential durations

noninformative prior

informative prior

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Reliability Engineering and System Safety

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