Reliability Prediction with Inadequate Data

670678

02/01/1967

Event
6th Annual Reliability and Maintainability Conference
Authors Abstract
Content
Although the accuracy of reliability prediction depends on both mathematical models and available data, the latter most often constitutes the limiting factor. Data inadequacies result in prediction uncertainties. If these uncertainties can be quantified, they need not negate the usefulness of predictions. In fact, quantified uncertainty may aid in system of configuration selection and in the allocation of further effort. The paper describes an approach utilizing information from diverse sources to predict reliability and estimate prediction uncertainty.
Meta TagsDetails
DOI
https://doi.org/10.4271/670678
Pages
8
Citation
Gottfried, P., and Weiss, D., "Reliability Prediction with Inadequate Data," SAE Technical Paper 670678, 1967, https://doi.org/10.4271/670678.
Additional Details
Publisher
Published
Feb 1, 1967
Product Code
670678
Content Type
Technical Paper
Language
English