QUT ePrints

A practical approach for reliability prediction of pipeline systems

Sun, Yong, Ma, Lin, & Morris, Jon (2009) A practical approach for reliability prediction of pipeline systems. European Journal of Operational Research, 198(1), pp. 210-214.

View at publisher

Abstract

Pipelines play an important role in the modern society. Failures of pipelines can have great impacts on economy, environment and community. Preventive maintenance (PM) is often conducted to improve the reliability of pipelines. Modern asset management practice requires accurate predictability of the reliability of pipelines with multiple PM actions, especially when these PM actions involve imperfect repairs. To address this issue, a split system approach (SSA) based model is developed in this paper through an industrial case study. This new model enables maintenance personnel to predict the reliability of pipelines with different PM strategies and hence effectively assists them in making optimal PM decisions.

Impact and interest:

15 citations in Scopus
Search Google Scholar™
2 citations in Web of Science®

Citation countsare sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

ID Code: 31273
Item Type: Journal Article
Additional URLs:
DOI: 10.1016/j.ejor.2008.07.040
ISSN: 0377-2217
Subjects: Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > INTERDISCIPLINARY ENGINEERING (091500)
Divisions: Current > Research Centres > CRC Integrated Engineering Asset Management (CIEAM)
Past > QUT Faculties & Divisions > Faculty of Built Environment and Engineering
Past > Schools > School of Engineering Systems
Copyright Owner: Copyright 2009 Elsevier BV
Deposited On: 12 Mar 2010 08:17
Last Modified: 29 Feb 2012 23:57

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page