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Reliability analysis using ageing intensity function

Author

Listed:
  • Bhattacharjee, Subarna
  • Nanda, Asok K.
  • Misra, Satya Kr.

Abstract

Ageing intensity (AI) function analyzes the ageing property of a system quantitatively. We study the behavior of a few generalized Weibull models and some system properties in terms of AI function. We establish that AI function provides a major and altogether a new role in studying system’s ageing behavior from reliability perspective.

Suggested Citation

  • Bhattacharjee, Subarna & Nanda, Asok K. & Misra, Satya Kr., 2013. "Reliability analysis using ageing intensity function," Statistics & Probability Letters, Elsevier, vol. 83(5), pages 1364-1371.
    • Handle: RePEc:eee:stapro:v:83:y:2013:i:5:p:1364-1371
    DOI: 10.1016/j.spl.2013.01.016
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    References listed on IDEAS

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    1. Nanda, Asok K. & Bhattacharjee, Subarna & Alam, S.S., 2007. "Properties of aging intensity function," Statistics & Probability Letters, Elsevier, vol. 77(4), pages 365-373, February.
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    Cited by:

    1. M. Kayid & S. Izadkhah & Ming J. Zuo, 2017. "Some results on the relative ordering of two frailty models," Statistical Papers, Springer, vol. 58(2), pages 287-301, June.
    2. Szymkowiak, Magdalena & Iwińska, Maria, 2016. "Characterizations of Discrete Weibull related distributions," Statistics & Probability Letters, Elsevier, vol. 111(C), pages 41-48.
    3. Szymkowiak, Magdalena, 2018. "Generalized aging intensity functions," Reliability Engineering and System Safety, Elsevier, vol. 178(C), pages 198-208.

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