The main objective of reliability-centered maintenance is the cost-effectiveness of the maintenance strategy. These strategies, rather than the different components of reliability-centered maintenance being applied independently, are optimally integrated to take advantage of their respective strengths to optimize equipment reliability and life-cycle costs. The article uses reliability parameters to define the type of maintenance strategy and time to perform maintenance on gas compressors. This article presents a methodology using the gas compressor's reliability parameters to model reliability-centered maintenance procedure for the gas compressors. The approach is based on reliability parameters gotten from the liner regression carried out on the gas compressors. The shape parameter (beta) from the Weibull linear regression shows that most components in the two gas compressors were experiencing early failure with their beta < 1 and the distribution that best fits the data is the lognormal distribution, whose parameters are the shape parameter (sigma') and the scale parameter (').
Details
Title
Reliability-Centered Maintenance Using Reliability Parameters on Gas Compressors
Authors
Gregory Egbe Omozuhiomwen - University of Benin
Halima I. Kure - University of East London
Emenike Raymond Obi - RaySoft Asset Analytics (Canada)
Solomon H. Ebenuwa - University of Greenwich
Gerald K. Ijemaru - University of the Sunshine Coast, Queensland, School of Science, Technology and Engineering
Augustine O. Nwajana - University of Greenwich
Publication details
International Journal of Manufacturing, Materials, and Mechanical Engineering, Vol.14(1), pp.1-31
Publisher
IGI Global
Date published
2025
DOI
10.4018/IJMMME.367256
ISSN
2156-1672; 2156-1680
Copyright note
This article published as an Open Access article distributed under the terms of the Creative Commons Attribution License (CC-BY) (https://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and production in any medium, provided the author of the original work and original publication source are properly credited.
Data Availability
No additional data is applicable besides the data/information already included in the manuscript.