A Class of General Reliability Growth Prediction Models
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Authors
Barr, Donald R.
Subjects
Advisors
Date of Issue
1968-05-13
Date
May 13, 1968
Publisher
INFORMS
Language
Abstract
In structuring reliability growth prediction models as Markov chains it is seen that the computation of the reliability after n trials and possible associated repairs R, may be accomplished with any of several different methods. This paper considers a class of models that accommodates variations in several important factors, such as the interdependences of assignable cause failure modes, inclusion of an inherent failure mode, the repair policy, and the distribution of initial states of the system.
Type
Article
Description
The article of record as published may be found at https://doi.org/10.1287/opre.18.1.52
Series/Report No
Department
Organization
Naval Postgraduate School (U.S.)
Identifiers
NPS Report Number
Sponsors
Funder
Format
15 p.
Citation
Donald R. Barr, (1970) A Class of General Reliability Growth Prediction Models. Operations Research 18(1):52-65.
Distribution Statement
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.