Accession Number:

ADA025820

Title:

Monte Carlo Bayesian System Reliability- and MTBF-Confidence Assessment.

Descriptive Note:

Final rept. 1 Mar 74-31 Aug 75,

Corporate Author:

OKLAHOMA STATE UNIV STILLWATER COLL OF BUSINESS ADMINISTRATION

Personal Author(s):

Report Date:

1975-12-01

Pagination or Media Count:

99.0

Abstract:

This report documents the underlying theory and the usage of computer software for providing both point and interval estimates of the reliability and the MTBF Mean Time Between Failures of a large and complex system of any Logical configuration whatsoever. Interval estimation is frequently called assessment. Every component is of one of two types, time-to-failure, subject to a Poisson process, or attribute type, subject to a Bernoulli process. The prior data consists of the system logical configuration information, such as the set of minimal paths of the set of minimal cuts for each module, and for the system as a configuration of independent modules, the failure-history data for every component, and the system mission time. For time-to-failure components, the failure-history data consists of total failures and total accumulated testing time for attribute components e.g., failure modes the data are total accumulated tests and total failures.

Subject Categories:

  • Statistics and Probability
  • Computer Programming and Software

Distribution Statement:

APPROVED FOR PUBLIC RELEASE