A multivariate system reliability estimation method based on step stress accelerated degradation testing

被引:0
|
作者
Jia, Hongliang [1 ]
Cai, Miao [1 ]
Yang, Daoguo [1 ]
机构
[1] Guilin Univ Elect Technol, Sch Mech & Elect Engn, Guilin, Peoples R China
关键词
LED luminaries; SSADT; multivarite system reliability; Dunnett-Sobel;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, a multivariate system reliability estimation method based on step stress accelerated degradation testing is proposed. Firstly, the method of step stress accelerated degradation testing (SSADT) is utilized to evaluate the reliability of LED luminaries. In the test, temperature is determined as the sensitive stress. Secondly, we suppose that all the performance metrics follow normal distribution and the variation of distribution parameters with time is employed to indicate the performance degradation. Arrhenius model is used to do the extrapolation. Thirdly, the correlation coefficients between different performance metrics are described as a Dunnett-Sobel class correlation matrix to consider the statistical dependence. At the same time, the dependent performance metrics are transformed to conditional-independent random variables. Then, the failure criteria are determined according to the standard from Energy Star. Subsequently, the system reliability is calculated based on total probability theorem and Monte Carlo simulation. At last, the system reliability of the LED luminaries considering lumen maintenance, CCT and color maintenance simultaneously is obtained.
引用
收藏
页码:1166 / 1169
页数:4
相关论文
共 50 条
  • [1] A reliability analysis method for LED Luminaires based on step stress accelerated degradation test
    Cai, M.
    Yang, D. G.
    Chen, W. B.
    Jia, H. L.
    Tian, K. M.
    Guo, W. L.
    2013 14TH INTERNATIONAL CONFERENCE ON ELECTRONIC PACKAGING TECHNOLOGY (ICEPT), 2013, : 1207 - +
  • [2] Reliability Assessment Method of Multi-State System Based on Accelerated Degradation Testing
    Yu, Zongyue
    Han, Chen
    Ren, Zhiqian
    Chen, Xun
    PROCEEDINGS OF 2014 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-2014 HUNAN), 2014, : 60 - 65
  • [3] Data Analysis and Reliability Estimation of Step-down Stress Accelerated Degradation Test Based on Wiener Process
    Wan, Fubin
    Zhang, Chunhua
    Tan, Yuanyuan
    Chen, Xun
    PROCEEDINGS OF 2014 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-2014 HUNAN), 2014, : 41 - 45
  • [4] The Evaluation Method for Step-Down-Stress Accelerated Degradation Testing Based on Inverse Gaussian Process
    Haixia, K.
    Kongyuan, W.
    IEEE ACCESS, 2021, 9 : 73194 - 73200
  • [5] The Evaluation Method for Step-Down-Stress Accelerated Degradation Testing Based on Inverse Gaussian Process
    Haixia, K.
    Kongyuan, W.
    IEEE Access, 2021, 9 : 73194 - 73200
  • [6] Life and reliability evaluation of tuner by Constant-Stress Accelerated Degradation Testing method
    Sun, Fuqiang
    Li, Xiaoyang
    Jiang, Tongmin
    SAFETY AND RELIABILITY: METHODOLOGY AND APPLICATIONS, 2015, : 837 - 841
  • [7] Reliability Assessment of Solid State Lasers Based on Step Stress Accelerated Degradation Test
    Fu, Xiaolu
    Yang, Jun
    PROCEEDINGS OF THE 2017 2ND JOINT INTERNATIONAL INFORMATION TECHNOLOGY, MECHANICAL AND ELECTRONIC ENGINEERING CONFERENCE (JIMEC 2017), 2017, 62 : 621 - 624
  • [8] Reliability Evaluation of LED Luminaires Based on Step-Stress Accelerated Degradation Test
    Tian, Wanchun
    Yang, Daoguo
    PROCEEDINGS OF 2014 10TH INTERNATIONAL CONFERENCE ON RELIABILITY, MAINTAINABILITY AND SAFETY (ICRMS), VOLS I AND II, 2014, : 750 - 755
  • [9] Reliability Assessment of LED Luminaires Based on Step-stress Accelerated Degradation Test
    Ren, Rongbin
    Yang, Daoguo
    Cai, Miao
    Gong, Ming
    2012 13TH INTERNATIONAL CONFERENCE ON ELECTRONIC PACKAGING TECHNOLOGY & HIGH DENSITY PACKAGING (ICEPT-HDP 2012), 2012, : 1495 - 1499
  • [10] Semiconductor Lasers Reliability Prediction Based on Accelerated Degradation Testing and MOGP Method
    Wu, Wenbo
    Men, Liangzhi
    Zhang, Lu
    Yu, Dequan
    Wang, Yang
    Fu, Hongyong
    2019 PROGNOSTICS AND SYSTEM HEALTH MANAGEMENT CONFERENCE (PHM-QINGDAO), 2019,