THERMAL SCIENCE

International Scientific Journal

Authors of this Paper

External Links

NUMERICAL INVESTIGATION OF RELIABILITY OF PUMP SYSTEMS FROM THERMAL POWER PLANTS

ABSTRACT
This article deals with numerical investigation of reliability of pump systems from thermal power plants. The reliability is examined by using intensity function for a system composed of n-linearly ordered pumps. The time between failures of pumps is taken as experimental. Firstly, appropriate model for the data is determined. Estimates of parameters are obtained with maximum likelihood method and intensity function models are written. Finally, reliability of consecutive 3-out-of-5:F systems are calculated for certain time periods by using the obtained intensity functions.
KEYWORDS
PAPER SUBMITTED: 2017-06-12
PAPER REVISED: 2017-11-21
PAPER ACCEPTED: 2017-11-21
PUBLISHED ONLINE: 2018-01-07
DOI REFERENCE: https://doi.org/10.2298/TSCI170612279B
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE Supplement 1, PAGES [S137 - S142]
REFERENCES
  1. Calik, S., Dynamic Reliability Evaluation for a Multi-State Component Under Stress-Strength Model, J. Nonlinear Sci. Appl., 10 (2017), 2, pp.152-161.
  2. Ascher H., Feingold, H., Repairable System Reliability, Modeling, Inference, Misconceptions and Their Causes, Marcel Deker, Washingthon DC, USA,1984.
  3. Ascher, H., Hansen, C.K., Spurius Exponentially Observed When Incorrectly Fitting a Distribution to Nonstationary Data, IEEE Transactions on Reliability, 47 (1998),4, pp.451-459.
  4. Crowder, M. J., et al., Statistical Analysis of Reliability Data, Chapman and Hall, London, England, 1991.
  5. Saldanha, P.L.C., et al., An Application of Non-homogeneous Poisson Point Process to the Reliability Analysis of Service Water Pumps, Nuclear Engineering and Design, 210 (2001), pp. 125-133.
  6. Singhal, M., et al., Numerical Investigation of Steady-State Thermal Behavior of an Infrared Detector Cryo Chamber, Thermal Science, 21, (2017), 3, pp. 1203-1212.
  7. Kuo, W., Zuo, M.J., Optimal Reliability Modeling: Principles and Applications, John Wiley & Sons, New York, USA, 2003.
  8. Kontoleon, J.M., Reliability Determination of a Successive out-of-n: F system, IEEE Trans. Reliab., R29 (1980), 5, pp. 437-437.
  9. Gokdere, G., et al., A New Method for Computing the Reliability of Consecutive k-out-of-n:F Systems, Open Phys., 14 (2016), 1, pp. 166-170.
  10. Gokdere, G., Gurcan, M., New Reliability Score for Component Strength using Kullback- Leibler Divergence, Journal the Polish Maintenance Society - "Eksploatacja i Niezawodność - Maintenance and Reliability", 8 (2016), 3, pp. 367-372.
  11. Uzgören, N., Elevli, S., Nonhomogeneous Poisson Process: Reliability Analysis of s Mining Equipment. Gazi Univ. J. Fac. Eng. Arch., 25 (2010),4, pp. 827-837.
  12. Wang, P., Coit, D.W., Repairable Systems Reliability Trend Tests and Evaluation, Proceedings, Annual Reliability and Maintainability Symposium, Orlando, USA, (2005), 416-421.
  13. Perera, L.P., et al., Modelling of System Failures in Gas Turbine Engines on Offshore Platforms, IFAC-Papers Online, 48 (2015), 6, pp. 194-199.
  14. Ye, Z.S., Xie, M., Tang, L.C., Reliability Evaluation of Hard Disk Drive Failures based on Counting Process, Reliab. Eng. Syst. Saf., 8 (2013), pp. 109-110.
  15. Wang, Z.M., Yu, X., Log-Linear Process Modeling For Repairable Systems with Time Trends and Its Applications in Reliability Assessment of Numerically Controlled Machine Tools, Proc Inst Mech Eng part O:J Risk Reliab, 227 (2013), 1, pp. 55-65.
  16. Chattarje, S., Singh, J.A., A NHPP Based Software Reliability Model and Optimal Release Policy with Logistic-Exponenial Test Coverage under Imperfect Debugging. Int. J. Syst Assur Eng Manag, 5 (2014), 3, pp. 399-406.
  17. Rausand, M., Hoyland, A., A System Reliability Theory: Models, Statistical Methods and Application, Wiley, New York, USA, 2004.
  18. Asfaw, Z.G., Lindqvist, B.H., Unobserved Heterogeneity in the Power Law Non-Homogeneous Poisson Process, Reliability Engineering and System Safety, 134 (2015), pp. 59-65.
  19. Meeker, W.Q., Escobar, L.A., Statistical Methods for Reliability Data, Wiley, New York, USA, 1998.

© 2024 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, National Institute of the Republic of Serbia, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence