Post-servicing failure rates: Optimizing preventive maintenance interval and quantifying maintenance induced failure in repairable systems

Author

Jackson, Charlie ; Mailler, B.

fYear

2013

fDate

28-31 Jan. 2013

Firstpage

1

Lastpage

7

Abstract

The underlying aims of preventive maintenance (PM) include improving reliability, operational availability and life-cycle costs of systems by reducing the risk of potentially expensive and inopportune failure. Optimizing PM frequency maximizes these benefits. Historically, this has been difficult to achieve due to the uncertainty regarding how each system will perform in a particular role, configuration and environment, inability to model maintenance induced failure (or ignorance and skepticism of the concept) and the complexity of analyzing systems with multiple preventive failure modes.

Keywords

failure analysis; life cycle costing; preventive maintenance; reliability; PM frequency; inopportune failure; life-cycle costs; maintenance induced failure; operational availability; post-servicing failure rates; preventive failure modes; preventive maintenance interval; quantifying maintenance; reliability; repairable systems; Analytical models; Equations; Failure analysis; Maintenance engineering; Mathematical model; Optimization; Reliability; Bayesian failure rate analysis; Maintenance induced failure; availability; bathtub curve; preventive maintenance optimization; repairable systems;

fLanguage

English

Publisher

ieee

Conference_Titel

Reliability and Maintainability Symposium (RAMS), 2013 Proceedings - Annual

Conference_Location

Orlando, FL

ISSN

0149-144X

Print_ISBN

978-1-4673-4709-9

Type

conf

DOI

10.1109/RAMS.2013.6517681

Filename

6517681