Useful lifetime analysis for high-power white LEDs

An accelerated degradation test is used to analyze the useful lifetime of high-power white light-emitting diodes (HPWLEDs) as the point at which the light output declines to 70% of the initial flux in lumens, called L70 In this study, the degradation-data-driven method (DDDM), including the approximation method, the analytical method, and the two-staged method, is used to analyze the useful lifetime of HPWLEDs. A response model based on an inverse power (exponential) law under different stresses is used to predict the useful lifetime under operating conditions. However, the degradation model for each HPWLED is usually fitted to an exponential function. In order to improve the fit accuracy, we present a bi-exponential model for the degradation curve of HPWLEDs. The estimation of the model parameters are easily obtained by using the nonlinear least square method. Through numerical examples, the results show that the bi-exponential model performs better than the exponential model based on the two-staged method. The extrapolation algorithm for L70 should be fitted to a bi-exponential extrapolation model and two-staged method.

[1]  Fu-Kwun Wang,et al.  Lifetime predictions of LED-based light bars by accelerated degradation test , 2012, Microelectron. Reliab..

[2]  Rong Pan,et al.  A hierarchical modeling approach to accelerated degradation testing data analysis: A case study , 2011, Qual. Reliab. Eng. Int..

[3]  Jean Paul Freyssinier,et al.  Solid-state lighting: failure analysis of white LEDs , 2004 .

[4]  R Core Team,et al.  R: A language and environment for statistical computing. , 2014 .

[5]  B. Efron Bootstrap confidence intervals for a class of parametric problems , 1985 .

[6]  Huajun Feng,et al.  Accelerated life test for high-power white LED based on spectroradiometric measurement , 2007, SPIE/COS Photonics Asia.

[7]  Yves Danto,et al.  Study of influence of failure modes on lifetime distribution prediction of 1.55 μm DFB Laser diodes using weak drift of monitored parameters during ageing tests , 2004, Microelectron. Reliab..

[8]  G. Meneghesso,et al.  Analysis of DC current accelerated life tests of GaN LEDs using a Weibull-based statistical model , 2005, IEEE Transactions on Device and Materials Reliability.

[9]  Suk Joo Bae,et al.  Degradation Analysis of Nano-Contamination in Plasma Display Panels , 2008, IEEE Transactions on Reliability.

[10]  M. Craford,et al.  Status and Future of High-Power Light-Emitting Diodes for Solid-State Lighting , 2007, Journal of Display Technology.

[11]  J. W. Orton,et al.  Reliability and Degradation of Semiconductor Lasers and LEDs , 1992 .

[12]  P. V. Varde,et al.  Light emitting diodes reliability review , 2012, Microelectron. Reliab..

[13]  Shinya Ishizaki,et al.  Lifetime Estimation of High Power White LEDs , 2007 .

[14]  W. Nelson Statistical Methods for Reliability Data , 1998 .

[15]  Taeyon Hwang,et al.  Performance Prediction by Modelling of a Light-pipe System used under the Climate Conditions of Korea , 2010 .

[16]  Xian-Xun Yuan,et al.  A nonlinear mixed-effects model for degradation data obtained from in-service inspections , 2009, Reliab. Eng. Syst. Saf..

[17]  Antonello Scaburri,et al.  New solid state technologies and light emission diodes as a mean of control and lighting source applicable to explosion proof equipment, with the scope to reduce maintenance, to limit the risk of bad maintenance and to expand the plants' life , 2009, 2009 Conference Record PCIC Europe.

[18]  Paul S. Martin,et al.  Illumination with solid state lighting technology , 2002 .

[19]  Enrico Zio,et al.  Designing optimal degradation tests via multi-objective genetic algorithms , 2003, Reliab. Eng. Syst. Saf..

[20]  J. Bert Keats,et al.  Statistical Methods for Reliability Data , 1999 .

[21]  Jeong Tai Kim,et al.  A field survey of visual comfort and lighting energy consumption in open plan offices , 2012 .

[22]  I. R. Edmonds,et al.  Performance of Light Redirection Systems in Model Buildings Under Typical Sky and Building Obstruction Conditions Encountered in Hong Kong , 2011 .

[23]  Marta A. Freitas,et al.  Reliability assessment using degradation models: bayesian and classical approaches , 2010 .

[24]  Nadarajah Narendran,et al.  Developing an accelerated life test method for LED drivers , 2009, Optical Engineering + Applications.

[25]  David L. Evans,et al.  High-luminance LEDs replace incandescent lamps in new applications , 1997, Photonics West.

[26]  Christoph J. Brabec,et al.  Determination of the degradation constant of bulk heterojunction solar cells by accelerated lifetime measurements , 2004 .

[27]  Sang-Deuk Park,et al.  Reliability improvement of InGaN LED backlight module by accelerated life test (ALT) and screen policy of potential leakage LED , 2008, Microelectron. Reliab..

[28]  François Routhier,et al.  Quantitative accelerated degradation testing: Practical approaches , 2010, Reliab. Eng. Syst. Saf..

[29]  Enrico A. Colosimo,et al.  Comparison of Methods to Estimate the Time‐to‐failure Distribution in Degradation Tests , 2004 .

[30]  John D. Bullough,et al.  What is Useful Life for White Light LEDs , 2001 .

[31]  Jong Kyu Kim,et al.  Solid-State Light Sources Getting Smart , 2005, Science.

[32]  Laurent Bechou,et al.  Estimation of lifetime distributions on 1550-nm DFB laser diodes using Monte-Carlo statistic computations , 2004, SPIE Photonics Europe.

[33]  M. Pecht,et al.  Lifetime Estimation of High-Power White LED Using Degradation-Data-Driven Method , 2012, IEEE Transactions on Device and Materials Reliability.

[34]  E. Schubert,et al.  Solid-state lighting—a benevolent technology , 2006 .

[35]  Yu Liu,et al.  Life prediction for white OLED based on LSM under lognormal distribution , 2012 .

[36]  J. W. Meredith,et al.  Microelectronics reliability , 1988, IEEE Region 5 Conference, 1988: 'Spanning the Peaks of Electrotechnology'.

[37]  William Q. Meeker,et al.  A Review of Accelerated Test Models , 2006, 0708.0369.