Monte Carlo Bayesian System Reliability- and MTBF-Confidence Assessment.
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Dec 01, 1975
- Accession Number
- ADA025820
Entities
People
- Mitchell O. Locks
Organizations
- Oklahoma State University–Stillwater