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Reliability assessment based on degradation measurements: How to compare some models?

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  • Baussaron, Julien
  • Mihaela, Barreau
  • Léo, Gerville-Réache
  • Fabrice, Guérin
  • Paul, Schimmerling

Abstract

An important issue in the validation of mechanical parts for vehicles is reliability assessment for high mileages, by means of tests. Since the tests should be as short as possible, and for parts subjected to degradation mechanism, such as wear or crack propagation, it would be appropriate using degradation measurements (such as mass loss or crack length) in order to estimate reliability. In this study, we present some statistical approaches responding to this concern and propose a method to compare theses models. Different types of data can be available; in this paper, we only consider the case in which one measure is available for each part. Only linear degradation is studied.

Suggested Citation

  • Baussaron, Julien & Mihaela, Barreau & Léo, Gerville-Réache & Fabrice, Guérin & Paul, Schimmerling, 2014. "Reliability assessment based on degradation measurements: How to compare some models?," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 236-241.
    • Handle: RePEc:eee:reensy:v:131:y:2014:i:c:p:236-241
    DOI: 10.1016/j.ress.2014.04.011
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    References listed on IDEAS

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    1. Pan, Zhengqiang & Balakrishnan, Narayanaswamy, 2011. "Reliability modeling of degradation of products with multiple performance characteristics based on gamma processes," Reliability Engineering and System Safety, Elsevier, vol. 96(8), pages 949-957.
    2. Nicolai, Robin P. & Dekker, Rommert & van Noortwijk, Jan M., 2007. "A comparison of models for measurable deterioration: An application to coatings on steel structures," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1635-1650.
    3. Kim, Seong-Joon & Bae, Suk Joo, 2013. "Cost-effective degradation test plan for a nonlinear random-coefficients model," Reliability Engineering and System Safety, Elsevier, vol. 110(C), pages 68-79.
    4. Mohammadian, S. Hossein & Aït-Kadi, Daoud & Routhier, François, 2010. "Quantitative accelerated degradation testing: Practical approaches," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 149-159.
    5. Barker, C.T. & Newby, M.J., 2009. "Optimal non-periodic inspection for a multivariate degradation model," Reliability Engineering and System Safety, Elsevier, vol. 94(1), pages 33-43.
    6. Guida, M. & Pulcini, G., 2013. "The inverse Gamma process: A family of continuous stochastic models for describing state-dependent deterioration phenomena," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 72-79.
    7. Kim, So Young & Castet, Jean-Francois & Saleh, Joseph H., 2012. "Spacecraft electrical power subsystem: Failure behavior, reliability, and multi-state failure analyses," Reliability Engineering and System Safety, Elsevier, vol. 98(1), pages 55-65.
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    Cited by:

    1. Nguyen, Khanh T.P. & Fouladirad, Mitra & Grall, Antoine, 2018. "Model selection for degradation modeling and prognosis with health monitoring data," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 105-116.
    2. Zhang, Jian & Huang, Xiaoyan & Fang, Youtong & Zhou, Jing & Zhang, He & Li, Jing, 2016. "Optimal inspection-based preventive maintenance policy for three-state mechanical components under competing failure modes," Reliability Engineering and System Safety, Elsevier, vol. 152(C), pages 95-103.

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