476
Views
11
CrossRef citations to date
0
Altmetric
Reliability Engineering

Integration method for reliability assessment with multi-source incomplete accelerated degradation testing data

ORCID Icon, ORCID Icon &

References

  • Chhikara, R. S., and J. L. Folks. 1988. The inverse Gaussian distribution: theory, methodology, and applications. Vol. 95. New York: CRC Press.
  • Escobar, L. A., and W. Q. Meeker. 2006. A review of accelerated test models. Statistical Science 21 (4):552–77.
  • Haghighi, F., and S. J. Bae. 2015. Reliability estimation from linear degradation and failure time data with competing risks under a step-stress accelerated degradation test. IEEE Transactions on Reliability 64 (3):960–71.
  • Iesmantas, T., and R. Alzbutas. 2016. Bayesian reliability of gas network under varying incident registration criteria. Quality and Reliability Engineering International 32 (5):1903–12.
  • Jiang, M., and W. Chen. 2015. Integrated approach for field reliability prediction based on accelerated life testing. Quality Engineering 27 (3):317–28.
  • Lawless, J., and M. Crowder. 2004. Covariates and random effects in a gamma process model with application to degradation and failure. Lifetime Data Analysis 10 (3):213–27.
  • Liao, H. T., and E. A. Elsayed. 2006. Reliability inference for field conditions from accelerated degradation testing. Naval Research Logistics 53 (6):576–87.
  • Ling, M. H., K. L. Tsui, and N. Balakrishnan. 2015. Accelerated degradation analysis for the quality of a system based on the gamma process. IEEE Transactions on Reliability 64 (1):463–72.
  • Lu, C. J., and W. O. Meeker. 1993. Using degradation measures to estimate a time-to-failure distribution. Technometrics 35 (2):161–74.
  • Lu, L., and C. M. Anderson-Cook. 2015. Improving reliability understanding through estimation and prediction with usage information. Quality Engineering 27 (3):304–16.
  • Meeker, W. Q., and L. A. Escobar. 1998. Statistical methods for reliability data. New York: John Wiley & Sons.
  • Meeker, W. Q., L. A. Escobar, and C. J. Lu. 1998. Accelerated degradation tests: modeling and analysis. Technometrics 40 (2):89–99.
  • Nelson, W. B. 2009. Accelerated testing: statistical models, test plans, and data analysis. Vol. 344. Hoboken, NJ: John Wiley & Sons.
  • Nelson, W. B. 2015. An updated bibliography of accelerated test plans. Paper presented at the 2015 Annual Reliability and Maintainability Symposium (RAMS), 26–29 Jan. 2015.
  • Padgett, W. J., and M. A. Tomlinson. 2004. Inference from accelerated degradation and failure data based on Gaussian process models. Lifetime Data Analysis 10 (2):191–206.
  • Pan, R. 2009. A Bayes approach to reliability prediction utilizing data from accelerated life tests and field failure observations. Quality and Reliability Engineering International 25 (2):229–40.
  • Pan, R., and T. Crispin. 2011. A hierarchical modeling approach to accelerated degradation testing data analysis: A case study. Quality and Reliability Engineering International 27 (2):229–37.
  • Park, C., and W. J. Padgett. 2005. Accelerated degradation models for failure based on geometric Brownian motion and gamma processes. Lifetime Data Analysis 11 (4):511–27.
  • Park, C., and W. J. Padgett. 2006. Stochastic degradation models with several accelerating variables. IEEE Transactions on Reliability 55 (2):379–90.
  • Tseng, S. T., N. J. Hsu, and Y. C. Lin. 2016. Joint modeling of laboratory and field data with application to warranty prediction for highly reliable products. IIE Transactions 48 (8):710–19.
  • Wang, L. Z. 2013. Research on lifetime prediction technology based on multi-source degradation data. PhD, Beihang Universtiy.
  • Wang, L. Z., R. Pan, X. Y. Li, and T. M. Jiang. 2013. A Bayesian reliability evaluation method with integrated accelerated degradation testing and field information. Reliability Engineering & System Safety 112:38–47.
  • Whitmore, G. A., and F. Schenkelberg. 1997. Modelling accelerated degradation data using wiener diffusion with a time scale transformation. Lifetime Data Analysis 3 (1):27–45.
  • Ye, Z. S., L. P. Chen, L. C. Tang, and M. Xie. 2014. Accelerated degradation test planning using the inverse Gaussian process. IEEE Transactions on Reliability 63 (3):750–63.
  • Ye, Z. S., and H. K. T. Ng. 2014. On analysis of incomplete field failure data. The Annals of Applied Statistics 8 (3):1713–27.
  • Ye, Z. S., and M. Xie. 2015. Stochastic modelling and analysis of degradation for highly reliable products (with discussion). Applied Stochastic Models in Business and Industry 31 (1):16–36.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.