Accession Number : ADA189107

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

Descriptive Note : Journal article,

Corporate Author : SOUTH CAROLINA UNIV COLUMBIA DEPT OF STATISTICS

Personal Author(s) : Guess, Frank M ; Usher, John S ; Hodgson, Thom J

PDF Url : ADA189107

Report Date : Nov 1987

Pagination or Media Count : 19

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.

Descriptors :   *MAXIMUM LIKELIHOOD ESTIMATION, *RELIABILITY, COSTS, DATA BASES, FAILURE, MONTE CARLO METHOD, ESTIMATES, LIFE EXPECTANCY(SERVICE LIFE)

Subject Categories : Statistics and Probability

Distribution Statement : APPROVED FOR PUBLIC RELEASE