• Electronics Optics & Control
  • Vol. 24, Issue 2, 95 (2017)
ZHOU Shao-hua, HU Chang-hua, SI Xiao-sheng, ZHANG Zheng-xin, and PEI Hong
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2017.02.020 Cite this Article
    ZHOU Shao-hua, HU Chang-hua, SI Xiao-sheng, ZHANG Zheng-xin, PEI Hong. Remaining Life Estimation for Products with Operation State Switching[J]. Electronics Optics & Control, 2017, 24(2): 95 Copy Citation Text show less
    References

    [1] PECHT M G.Prognostics and health management of electronics[M].[S.l.]:Wiley Online Library, 2008.

    [2] SI X S, WANG W B, HU C H, et al.Remaining useful life estimation-A review on the statistical data driven approaches[J].European Journal of Operational Research, 2011, 213(1):1-14.

    [3] BAE S J, KVAM P H.A change-point analysis for modeling incomplete burn-in for light displays[J].IIE Transactions, 2006, 38(6):489-498.

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    [8] BAE S J, KVAM P H.A nonlinear random coefficients model for degradation testing[J].Technometrics, 2004, 46:460-469.

    [9] GEBRAEEL N.Sensory-updated residual life distributions for components with exponential degradation patterns[J].IEEE Transactions on Automation Science and Engineering, 2006, 3(4):382-393.

    [10] SI X S, HU C H, KONG X Y, et al.A residual storage life prediction approach for systems with operation state switches[J].IEEE Transactions on Industrial Electro-nics, 2014.doi:10.1109/TIE.2014.2308135.

    [11] OLIVEIRA V D.Bayesian inference and prediction of Gaussian random fields based on censored data[J].Journal of Computational and Graphical Statistics, 2005, 14(1):95-115.

    [12] SI X S, WANG W B, HU C H, et al.Remaining useful life estimation based on a nonlinear diffusion degradation process[J].IEEE Transactions on Reliability, 2012, 61(1): 50-67.

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    ZHOU Shao-hua, HU Chang-hua, SI Xiao-sheng, ZHANG Zheng-xin, PEI Hong. Remaining Life Estimation for Products with Operation State Switching[J]. Electronics Optics & Control, 2017, 24(2): 95
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