Availability analysis of repairable pumping system in oil refinery gas plant

P. A. Ozor, C. Mbohwa

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This paper presents a constructive technique that can be used in analysing the availability of service producing repairable systems. The main focus is to provide an alternative approach that can be applied by a wider range of maintenance practitioners, especially in situations where mathematical complexities of existing models impose significant practical application difficulty in assessment of system availability measures. The procedure used involve careful combination of simpler aspects of selected existing models and empirical methods to assess most of the availability variables of a repairable system. In particular, a case of a pumping system in a gas power plant in Nigeria which is addressed as G4 Company for confidentiality was undertaken. The information on the operation and maintenance of the system were used to identify the best life time distribution for modelling the system availability. The results reveals that important system availability parameters like the mean time to failure, repair rate and remaining useful life, among others can accurately be estimated with the procedure described in the study.

Original languageEnglish
Title of host publicationProceedings of the World Congress on Engineering 2018, WCE 2018
EditorsA. M. Korsunsky, Len Gelman, David WL Hukins, Andrew Hunter, S. I. Ao
PublisherNewswood Limited
Number of pages6
ISBN (Electronic)9789881404893
Publication statusPublished - 2018
Event2018 World Congress on Engineering, WCE 2018 - London, United Kingdom
Duration: 4 Jul 20186 Jul 2018

Publication series

NameLecture Notes in Engineering and Computer Science
ISSN (Print)2078-0958


Conference2018 World Congress on Engineering, WCE 2018
Country/TerritoryUnited Kingdom


  • Availability
  • Empirical methods
  • Existing models
  • Practical application
  • Repairable system

ASJC Scopus subject areas

  • Computer Science (miscellaneous)


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