Acta Optica Sinica, Volume. 44, Issue 22, 2223001(2024)

Lifetime Prediction of UV LEDs Based on Bayesian MCMC and Other Models

Hui Miao, Weiling Guo*, Ziyuan Liu, and Rongjing Wang
Author Affiliations
  • Key Laboratory of Opto-Electronic Technology, Ministry of Education, College of Information Science and Technology, Beijing University of Technology, Beijing 100124, China
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    Figures & Tables(14)
    PCB substrate
    I-V characteristic curves non-aging and after 500, 1000, 1500 h aging under working conditions
    Spectra curves non-aging and after 500, 1000, 1500 h aging under working conditions
    Radiant efficiency of non-aging and after 500, 1000, 1500 h aging under working conditions
    Radiant flux maintenance change over time
    Normal failure probability distribution curve of L70 on actually testing
    Exponential fitting model. (a) 500‒3500 h; (b) 500‒4500 h; (c) 500‒5500 h
    LED#5. (a) MCMC sampling trajectory; (b) distribution diagram
    LED#10. (a) MCMC sampling trajectory; (b) distribution diagram
    Bayesian MCMC fitting diagram
    Power function fitting diagram
    Logarithmic function fitting diagram
    Comparison of fitting model errors
    • Table 1. Initial photoelectric parameter of ultraviolet LED

      View table

      Table 1. Initial photoelectric parameter of ultraviolet LED

      ParameterValue
      Current /mA40
      Temperature /℃Room temperature
      Radiant flux /mW10.1
      Peak wavelength /nm277.3
      Voltage /V5.7
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    Hui Miao, Weiling Guo, Ziyuan Liu, Rongjing Wang. Lifetime Prediction of UV LEDs Based on Bayesian MCMC and Other Models[J]. Acta Optica Sinica, 2024, 44(22): 2223001

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    Paper Information

    Category: Optical Devices

    Received: May. 16, 2024

    Accepted: Jul. 25, 2024

    Published Online: Nov. 19, 2024

    The Author Email: Weiling Guo (guoweiling@bjut.edu.cn)

    DOI:10.3788/AOS241030

    CSTR:32393.14.AOS241030

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