Comparison of three methods for calculating lower confidence limits on system reliability using binomial component data

Journal Article · Sat Jun 01 04:00:00 EDT 1985 · IEEE Trans. Reliab.; (United States)

DOI:https://doi.org/10.1109/TR.1985.5221967· OSTI ID:5838940

Martz, H F; Duran, B S

The Maximum, bootstrap and Bayes methods for calculating lower s-confidence limits on reliability by means of binomial component analysis are presently compared, using Monte Carlo simulations for 20 examples ranging in complexity from simple to moderate. The Maximus method is generally superior for moderate to large series systems of reliable components with small quantities of test data/component, and for small series systems of repeated components. The bootstrap method is generally superior for highly reliable and redundant systems, while the Bayes method is generally superior for moderate to large series systems of reliable components with moderate to large numbers of component tests, and small series systems of reliable nonrepeated components. 29 references.

• Research Organization: Los Alamos National Lab., NM; Texas Tech Univ., Lubbock
• OSTI ID: 5838940
• Journal Information: IEEE Trans. Reliab.; (United States), Journal Name: IEEE Trans. Reliab.; (United States) Vol. R-34; ISSN IEERA
• Country of Publication: United States
• Language: English

Related Subjects

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MONTE CARLO METHOD
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SAMPLING
SYSTEMS ANALYSIS