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Estimating System and Component Reliabilities under Partial Information on Cause of Failure.

Authors :
SOUTH CAROLINA UNIV COLUMBIA DEPT OF STATISTICS
Guess, Frank M
Usher, John S
Hodgson, Thom J
SOUTH CAROLINA UNIV COLUMBIA DEPT OF STATISTICS
Guess, Frank M
Usher, John S
Hodgson, Thom J
Source :
DTIC AND NTIS
Publication Year :
1987

Abstract

Estimating component reliabilities along with the system reliability frequently requires using lifetimes from the system level. Due to cost and time constraints, however, the exact cause of system failure may be unknown. Instead, it may only be ascertained that the cause of failure is due to one component in a subset of components, e.g., the subset forms a subsystem. Confronted with such data, this article discusses how to exploit fully the available information using a maximum likelihood approach. We extend and clarify the useful work of Miyakawa (1984). A small Monte Carlo study indicates the helpfulness of this approach. Keywords: Reliability data bases.

Details

Database :
OAIster
Journal :
DTIC AND NTIS
Notes :
text/html, English
Publication Type :
Electronic Resource
Accession number :
edsoai.ocn831577423
Document Type :
Electronic Resource