Title :
Inference From Lumen Degradation Data Under Wiener Diffusion Process
Author :
Tsai, Tzong-Ru ; Lin, Chin-Wei ; Sung, Yi-Ling ; Chou, Pei-Ting ; Chen, Chiu-Ling ; Lio, Yuhlong
Author_Institution :
Dept. of Stat., Tamkang Univ., Tamsui, Taiwan
Abstract :
The lumen degradation of light emitting diodes subject to increasing stress loading is investigated by using a cumulative damage model. The cumulative damage process is taken as a Wiener diffusion process with a drift which depends on two stress loadings. General statistical inferences on the parameters and percentiles of the light emitting diode lifetime distribution are presented based on the cumulative damage measurements, collected from a two-variable constant-stress loading accelerated degradation test. Approximate lower s-confidence bounds of the light emitting diode lighting lifetime percentiles are given using the Fisher information of the maximum-likelihood estimators, and Bonferroni´s inequality. The application of the proposed method is illustrated by a lumen cumulative damage data set of high power light emitting diodes.
Keywords :
diffusion; life testing; light emitting diodes; maximum likelihood estimation; stochastic processes; Bonferroni inequality; Fisher information; Wiener diffusion process; accelerated degradation test; cumulative damage model; light emitting diode lifetime distribution; lumen degradation data; maximum likelihood estimators; s-confidence bounds; statistical inferences; stress loading; Degradation; Light emitting diodes; Load modeling; Loading; Maximum likelihood estimation; Reliability; Stress; Arrhenius law model; draft parameter; exponential law model; power law model; step-stress loading method;
Journal_Title :
Reliability, IEEE Transactions on
DOI :
10.1109/TR.2012.2207533