Probabilistic assessment of availability from system performance data

Author

Smith, Jan B. ; Smith, W. Bryan

Author_Institution

Appl. Reliability, Inc., Baton Rouge, LA, USA

fYear

2002

fDate

2002

Firstpage

569

Lastpage

576

Abstract

This paper presents a method of calculating system availability and reliability probability distributions using permutations of inseparable system failure and restore data sets. Such data sets usually come from system history, as reflected in a performance measurement such as daily production. A direct relationship is maintained between any failure and its consequence; that is, time-between-failure (TBF) and time-to-restore (TTR) are an inseparable set. Furthermore, TTR need not be single-valued but may take the form of another data set to accommodate system degradation and dependent failures

Keywords

failure analysis; maintenance engineering; probability; reliability theory; availability probability distributions; dependent failures; inseparable system failure and restore data sets; performance measurement; probabilistic availability assessment; reliability probability distributions; system degradation; system history; system performance data; time-between-failure; time-to-restore; Availability; Business; Decision making; History; Maintenance; Manufacturing; Measurement; Probability distribution; Production; System performance;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium, 2002. Proceedings. Annual

Conference_Location

Seattle, WA

ISSN

0149-144X

Print_ISBN

0-7803-7348-0

Type

conf

DOI

10.1109/RAMS.2002.981704

Filename

981704