Application of Linear Regression Maintenance Models on Rotodynamic Systems
Authors: Elijah PT, Obaseki M
DOI Info: http://doi.org/10.5281/zenodo.5805259
This paper presents a maintenance model as well as its analysis for minimizing unexpected breakdowns, decrease in productivity and high maintenance cost, associated with rotodynamic systems failures. This work presented a case study of a gas compressing systems and integrates linear regression models derived from Weibull’s exponential distribution in determining the frequency of failure and the mean time between failures (MTBF) of the gas compressing systems. Results obtained showed that the gas compressing system’s frequency of failure and the mean time between failures were 0.00052% and 4.12 years respectively. The result presented established the comparison of the proposed maintenance model with the existing one at the case study to indicate a significant improvement.
Affiliations: Applied Mechanics and Design/Production Research Group, Department of Mechanical Engineering, Nigeria Maritime University, Okerenkoko, Delta State, Nigeria.
Keywords: Weibull's Exponential Distribution, Linear Regression, Models, Frequency Of Failure, Mean Time Between Failures
Published date: 2021/12/30