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Research Article Open access CC BY 4.0

Application of the Two-parameter Weibull Distribution Method to Assess the Reliability of Gas Turbine Compressors

Sunday N. Ozonuwe, Dennar Onyekachi, Collins U. Oside

Journal of Engineering Research and Reports · pp. 12–20 · Published 13 Nov 2020

10.9734/jerr/2020/v18i417213

Abstract

In this paper, the reliability of axial compressors of gas turbines used in oil and gas installations was analyzed by the application of the two-parameter Weibull distribution method. Reliability analysis is an important tool to minimize the failures of equipment, shorten repair time and enhance maintenance effectiveness because when a system is well-maintained system, it minimizes operating costs and optimizes throughput. The study involves the analysis of the failure times of three identical gas turbine compressors. The two-parameter Weibull distribution method was found to best fit the failure data with a correlation coefficient of 0.9886 using the rank regression method. Based on the result obtained for the two-parameter Weibull estimates, it is deduced that the compressors under consideration are at the end of their operational life (wear-out period). From the Weibull estimates obtained, the reliability and mean time to failure of the compressors were determined. This result can be used to carry out timely and effective maintenance of the compressors so as to improve their operation and availability.

Reliability axial compressor Weibull distribution method equipment failure rank regression.

References (14)

  1. 1 Modern estimation of the parameters of the Weibull wind speed distribution for wind energy analysis [DOI]
  2. 2 A model for availability analysis of distributed software/hardware systems [DOI]
  3. 3 Numerical investigation of heat transfer of laminar and turbulent pulsating Al2O3/water nanofluid flow [DOI]
  4. 4 Evaluation of bond strength of resin cements using different general-purpose statistical software packages for two-parameter Weibull statistics [DOI]
  5. 5 Reliability analysis of pulping system using Petri nets [DOI]
  6. 6 Operational reliability analysis applied to a gas turbine based on three parameter Weibull distribution [DOI]
  7. 7 Overview of gas turbine types and applications [DOI]
  8. 8 RELIABILITY ANALYSIS OF COMPLEX SYSTEMS BASED ON THE LOSSES FROM FAILURES [DOI]
  9. 9 Failure Analysis of a Gas Turbine Compressor in a Thermal Power Plant [DOI]
  10. 10 RELIABILITY ANALYSIS OF A SYSTEM OF BOILER USED IN READYMADE GARMENT INDUSTRY
  11. 11 Computational fluid dynamics analysis of the effect of throat diameter on the fluid flow and performance of ejector [DOI]
  12. 12 Applying Weibull Methods in Gas Turbine Component Data Analysis [DOI]
  13. 13 Software for Statistical Analysis of Weibull Distributions with Application to Gear Fatigue Data: User Manual with Verification
  14. 14 Reliability, Availability and Maintainability (RAM) Analysis of an Industrial Process

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