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Demonstration of statistical approaches to identify component's ageing by operational data analysis—A case study for the ageing PSA network

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  • Rodionov, Andrei
  • Atwood, Corwin L.
  • Kirchsteiger, Christian
  • Patrik, Milan

Abstract

The paper presents some results of a case study on “Demonstration of statistical approaches to identify the component's ageing by operational data analysis†, which was done in the frame of the EC JRC Ageing PSA Network. Several techniques: visual evaluation, nonparametric and parametric hypothesis tests, were proposed and applied in order to demonstrate the capacity, advantages and limitations of statistical approaches to identify the component's ageing by operational data analysis. Engineering considerations are out of the scope of the present study.

Suggested Citation

  • Rodionov, Andrei & Atwood, Corwin L. & Kirchsteiger, Christian & Patrik, Milan, 2008. "Demonstration of statistical approaches to identify component's ageing by operational data analysis—A case study for the ageing PSA network," Reliability Engineering and System Safety, Elsevier, vol. 93(10), pages 1534-1542.
    • Handle: RePEc:eee:reensy:v:93:y:2008:i:10:p:1534-1542
    DOI: 10.1016/j.ress.2007.09.009
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    References listed on IDEAS

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    1. Peres, François & Bouzaïene, Leïla & Bocquet, Jean-Claude & Billy, François & Lannoy, André & Haïk, Philippe, 2007. "Anticipating aging failure using feedback data and expert judgment," Reliability Engineering and System Safety, Elsevier, vol. 92(2), pages 200-210.
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    Cited by:

    1. Tanwar, Monika & Rai, Rajiv N. & Bolia, Nomesh, 2014. "Imperfect repair modeling using Kijima type generalized renewal process," Reliability Engineering and System Safety, Elsevier, vol. 124(C), pages 24-31.
    2. Antonov, Alexander & Chepurko, Valeriy & Polyakov, Alexander & Rodionov, Andrei, 2009. "Application of generalised linear model for time-dependent trend assessment—A case study for the ageing PSA network," Reliability Engineering and System Safety, Elsevier, vol. 94(6), pages 1021-1029.

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