@article{ajme2018641,
author={{Seleiyi, Eugene Peters and Musa, Shamagana Yizadi and Joseph, Agbo Chidome},
title={Reliability Based Analysis of Process Air Compressor in the Petrochemical Industry},
journal={American Journal of Mechanical Engineering},
volume={6},
number={4},
pages={148--158},
year={2018},
url={http://pubs.sciepub.com/ajme/6/4/1},
issn={2328-4110},
abstract={The performance and reliability based analysis of process air compressor in the petrochemical industry was carried out. The lognormal model was used for reliability analysis, while the Weibull probability distribution and chi test technique were used to analyzed the sample test questions. The failure based results indicated that for every 1% increase in the lognormal probability, the failure rate increased by 2.4% when compare with that of the Weibull distribution. The Reliability indicates that the reliability of the system for 50days of operation is 36.8%. This increased to 38.8% at the MTBF of 365days. Therefore, there exist a relationship between the system reliability and the failure rate. Base on the chi square test at 0.05 and 0.01 levels of significance it was concluded that ¡°Most Machinery failures are lubrication oriented¡±. Therefore, careful preventive maintenance process that is condition based should be followed in order to improve the plant energy efficiency.},
doi={10.12691/ajme-6-4-1}
publisher={Science and Education Publishing}
}