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Statistical bootstrap in the problem of availability factor estimating: example of SRs 1200 excavator reliability

Author

Listed:
  • Irina Gadolina

    (Mechanical Engineering Research Institute of Russian Academy of Science (IMASH RAN))

  • Ljubisa Papic

    (Faculty of Technical Sciences
    Faculty of Technical Sciences)

  • Rashid Zaynetdinov

    (Independent Researcher)

Abstract

It is difficult sometimes to estimate the confidence intervals for the particular statistics, because there is no so far for some of them mathematical expression for their variance. That is true for availability factor—complex characteristic of restorable items reliability. Statistical bootstrap, as one of resampling methods, has been applied to this problem. Availability of subsystems of rotary excavator has been considered using the proposed method. The data of reliability were collected in Serbia, at open coal development. The proposed model is based on statistical bootstrap method. On the basis of proposed method, the availability factor confidence intervals and histograms for excavator subsystems were built. The availability factor of the system in a whole was also evaluated. The results, as well as comparison with existing approaches, are presented. The attempt has been made to estimate the risk factor of subsystems using the data of availability.

Suggested Citation

  • Irina Gadolina & Ljubisa Papic & Rashid Zaynetdinov, 2019. "Statistical bootstrap in the problem of availability factor estimating: example of SRs 1200 excavator reliability," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 10(1), pages 21-28, November.
    • Handle: RePEc:spr:ijsaem:v:10:y:2019:i:1:d:10.1007_s13198-019-00764-2
    DOI: 10.1007/s13198-019-00764-2
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    References listed on IDEAS

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    1. Christopher E. Marks & Andrew G. Glen & Matthew W. Robinson & Lawrence M. Leemis, 2014. "Applying Bootstrap Methods to System Reliability," The American Statistician, Taylor & Francis Journals, vol. 68(3), pages 174-182, May.
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