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Quantitative accelerated degradation testing: Practical approaches

Author

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  • Mohammadian, S. Hossein
  • Aït-Kadi, Daoud
  • Routhier, François

Abstract

The concept of accelerated testing by tracking degradation of samples over test time needs to be developed for reliability estimation. This paper aims at proposing practical approaches to conduct accelerated degradation testing on new and available used samples. For this purpose, product failure is related to a suitable physical property. Then, its failure time is defined as the expected time in which its property reaches the critical level. Degradation model of field samples returned from service due to a degrading failure mode has been estimated based on the least square method, and available gap between manufacturer criterion and user's claim (to report a failure) has also been discussed. For a product under some stresses, a general formula has been proposed by the superposition principle in order to estimate its degradation for independent and dependent failure modes. If used samples are available, and acceleration factor of the related test is unknown, partial aging method has been presented to considerably shorten the test time.

Suggested Citation

  • 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.
    • Handle: RePEc:eee:reensy:v:95:y:2010:i:2:p:149-159
    DOI: 10.1016/j.ress.2009.09.009
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    Cited by:

    1. Mohammadian, S. Hossein & Aït-Kadi, Daoud, 2010. "Design stage confirmation of lifetime improvement for newly modified products through accelerated life testing," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 897-905.
    2. Peng, Weiwen & Li, Yan-Feng & Yang, Yuan-Jian & Huang, Hong-Zhong & Zuo, Ming J., 2014. "Inverse Gaussian process models for degradation analysis: A Bayesian perspective," Reliability Engineering and System Safety, Elsevier, vol. 130(C), pages 175-189.
    3. 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.
    4. Bae, Suk Joo & Yuan, Tao & Ning, Shuluo & Kuo, Way, 2015. "A Bayesian approach to modeling two-phase degradation using change-point regression," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 66-74.

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