A life extrapolation model using accelerated equivalent luminance and its application

Zhang, Jianping; Zhang, Yinjie; Lei, Sun; Fu, Jianzhong; Zhou, Qing; Hu, Jun; Bao, Chao; Chen, Siyi

doi:10.1080/08982112.2022.2119409

Cited by 3 publications

(1 citation statement)

References 32 publications

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“…Tan et al 19 developed a method for predicting the brightness decay trend under different operating conditions based on the Eyring model and regression analysis, demonstrating that this model has higher prediction accuracy compared with the Eyring model. Zhang et al 20 determined the Logistic function through the Anderson-Darling test, described the distributions of the shape and scale parameters, and derived a degradation formula for estimating the accelerated equivalent luminance. Yu et al 21 employed the Arrhenius function to predict the service life of silicone.…”

Section: Introductionmentioning

confidence: 99%

Extrapolated lifetime prediction of light-emitting diode lights based on equivalent average luminance and accelerated degradation tests

Zhang,

2024

Opt. Eng.

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To accurately and promptly obtain the conventional lifetime of light-emitting diode (LED) lights, accelerated degradation tests of LED lights under four groups of accelerated stresses were designed and carried out. Three-parameter Weibull function and the right approximation method were used to fit the average luminance degradation test data at each constant accelerated current stress. Combined with the failure criteria, the service lifetime of the samples under each accelerated stress condition was calculated. Then, four groups of accelerated degradation data points were extrapolated by power function and exponential function respectively, and the average lifetime of LED lights was calculated, thereby achieving the estimation of conventional lifetime. The results show that the luminance degradation rate of LED lights is initially fast, then slow, which accurately represents the basic rule of luminance decay. The model established by the Weibull right approximation method exhibits high fitted accuracy for the luminance degradation data of LED lights. By comparing the determination coefficients and the mean absolute percentage errors of extrapolation, it can be found that the conventional lifetime extrapolated by power function has superior accuracy, satisfying the actual project requirements. The relevant research results can provide technical support for the life prediction of LED lights.

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Section: Introductionmentioning

confidence: 99%