Reliability and optimal replacement policy for an extreme shock model with a change point.

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Title: Reliability and optimal replacement policy for an extreme shock model with a change point.
Authors: Eryilmaz, Serkan1 (AUTHOR) serkan.eryilmaz@atilim.edu.tr, Kan, Cihangir2 (AUTHOR)
Source: Reliability Engineering & System Safety. Oct2019, Vol. 190, p106513-106513. 1p.
Subjects: Geometric distribution, Reliability in engineering, System failures
Abstract: • Extreme shock model is studied. • The distribution of the magnitudes of shocks change. • Intershock times follow phase-type distribution. • Reliability and MTTF are derived. • Optimal replacement policy is considered. An extreme shock model when there is a change in the distribution of the magnitudes of shocks is defined and studied. Such a model is useful in practice since a sudden change in environmental conditions may cause a larger shock. In particular, the reliability and mean time to failure of the system is obtained by assuming that the times between arrivals of shocks follow phase-type distribution. The optimal replacement policy that is based on a control limit is also proposed. The results are illustrated when the number of shocks until the change point follows geometric distribution. [ABSTRACT FROM AUTHOR]
Copyright of Reliability Engineering & System Safety is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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An: 136912252
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  Data: Reliability and optimal replacement policy for an extreme shock model with a change point.
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  Data: <searchLink fieldCode="AR" term="%22Eryilmaz%2C+Serkan%22">Eryilmaz, Serkan</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> serkan.eryilmaz@atilim.edu.tr</i><br /><searchLink fieldCode="AR" term="%22Kan%2C+Cihangir%22">Kan, Cihangir</searchLink><relatesTo>2</relatesTo> (AUTHOR)
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  Data: <searchLink fieldCode="JN" term="%22Reliability+Engineering+%26+System+Safety%22">Reliability Engineering & System Safety</searchLink>. Oct2019, Vol. 190, p106513-106513. 1p.
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  Data: <searchLink fieldCode="DE" term="%22Geometric+distribution%22">Geometric distribution</searchLink><br /><searchLink fieldCode="DE" term="%22Reliability+in+engineering%22">Reliability in engineering</searchLink><br /><searchLink fieldCode="DE" term="%22System+failures%22">System failures</searchLink>
– Name: Abstract
  Label: Abstract
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  Data: • Extreme shock model is studied. • The distribution of the magnitudes of shocks change. • Intershock times follow phase-type distribution. • Reliability and MTTF are derived. • Optimal replacement policy is considered. An extreme shock model when there is a change in the distribution of the magnitudes of shocks is defined and studied. Such a model is useful in practice since a sudden change in environmental conditions may cause a larger shock. In particular, the reliability and mean time to failure of the system is obtained by assuming that the times between arrivals of shocks follow phase-type distribution. The optimal replacement policy that is based on a control limit is also proposed. The results are illustrated when the number of shocks until the change point follows geometric distribution. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Reliability Engineering & System Safety is the property of Elsevier B.V. and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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RecordInfo BibRecord:
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        Value: 10.1016/j.ress.2019.106513
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      – Code: eng
        Text: English
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    Subjects:
      – SubjectFull: Geometric distribution
        Type: general
      – SubjectFull: Reliability in engineering
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      – SubjectFull: System failures
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      – TitleFull: Reliability and optimal replacement policy for an extreme shock model with a change point.
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              Text: Oct2019
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