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Estimating Parameters in Repairable Systems Under Accelerated Stress

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Computational Science and Its Applications – ICCSA 2005 (ICCSA 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3483))

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Abstract

In this paper, the imperfect maintenance model and proportional intensity model are considered for the repairable systems under accelerated stress. The age reduction model (Malik’s model) is assumed for imperfect maintenance. The stress acts multiplicatively on the baseline cumulative intensity. The log-likelihood function is derived and a maximizing procedure is proposed. In simulation studies, we investigate the accuracy and some properties of the estimation method.

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References

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Author information

Authors and Affiliations

  1. Department of Industrial Engineering, Pusan National University 30, Changjeon-Dong, Kumjeong-Ku, Pusan, 609-735, Korea

    Won Young Yun & Eun Suk Kim

Authors
  1. Won Young Yun
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  2. Eun Suk Kim
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Editor information

Editors and Affiliations

  1. Department of Mathematics and Computer Science, University of Perugia, via Vanvitelli, 1, I-06123, Perugia, Italy

    Osvaldo Gervasi

  2. Department of Computer Science, University of Calgary, 2500 University Drive N.W., T2N 1N4, Calgary, AB, Canada

    Marina L. Gavrilova

  3. William Norris Professor, Head of the Computer Science and Engineering Department, University of Minnesota, USA

    Vipin Kumar

  4. Department of Chemistry, University of Perugia, Via Elce di Sotto, 8, I-06123, Perugia, Italy

    Antonio Laganá

  5. Institute of High Performance Computing, IHCP, 1 Science Park Road, 01-01 The Capricorn, Singapore Science Park II, 117528, Singapore

    Heow Pueh Lee

  6. School of Computing, Soongsil University, Seoul, Korea

    Youngsong Mun

  7. Clayton School of IT, Monash University, 3800, Clayton, Australia

    David Taniar

  8. OptimaNumerics Ltd, Belfast, United Kingdom

    Chih Jeng Kenneth Tan

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© 2005 Springer-Verlag Berlin Heidelberg

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Yun, W.Y., Kim, E.S. (2005). Estimating Parameters in Repairable Systems Under Accelerated Stress. In: Gervasi, O., et al. Computational Science and Its Applications – ICCSA 2005. ICCSA 2005. Lecture Notes in Computer Science, vol 3483. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11424925_59

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  • DOI: https://doi.org/10.1007/11424925_59

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25863-6

  • Online ISBN: 978-3-540-32309-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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