Print Email Facebook Twitter Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model Title Lumen Degradation Lifetime Prediction for High-Power White LEDs Based on the Gamma Process Model Author Ibrahim, M.S. (The Hong Kong Polytechnic University) Fan, J. (TU Delft Electronic Components, Technology and Materials; Hohai University; Changzhou Institute of Technology Research for Solid State Lighting) Yung, Winco K.C. (The Hong Kong Polytechnic University) Wu, Zeyu (Beihang University) Sun, B. (Beihang University) Date 2019 Abstract Nowadays, due to the advancement of design and manufacturing technology, there are many consumer products with high reliability. Similarly, the competition in the business sector influences the product development time to become shorter and that makes it difficult for manufacturers to evaluate the reliability of current products before new products are released to the market. This phenomenon is manifested in the lighting industry, especially for the high power white light-emitting diodes (LEDs) as these products have a long lifetime and high reliability. Currently, the standard to predict the lifetime of LEDs is based on a deterministic nonlinear least squares method which has low prediction accuracy. To overcome this, degradation models are being used to study the reliability of such products, considering the uncertainties and the quality characteristics whose degradation over a period of time can be related to the product lifetime. A stochastic approach based on gamma distributed degradation (GDD) is proposed in this study to estimate the long-term lumen degradation lifetime of phosphor-converted white LEDs. An accelerated thermal degradation test was designed to gather luminous flux degradation data which was analyzed based on maximum likelihood estimation (MLE) and the method of moments (MM) to estimate the parameters for the GDD model. The MLE method has shown superiority over MM in terms of the estimation of the model parameters due to its iterative algorithm being likely to find the optimal estimation. The lifetime prediction results show that the accuracy of the proposed method is much better than the TM-21 nonlinear least squares (NLS) approach which makes it promising for future industrial applications. Subject gamma distributed degradation (GDD)Light-emitting diodes (LEDs)luminous flux degradationmaximum likelihood estimationmethod of moments. To reference this document use: http://resolver.tudelft.nl/uuid:cf3e4c2a-db2f-4230-b262-1235be8a92c7 DOI https://doi.org/10.1109/JPHOT.2019.2950472 ISSN 1943-0655 Source IEEE Photonics Journal, 11 (6), 1-17 Part of collection Institutional Repository Document type journal article Rights © 2019 M.S. Ibrahim, J. Fan, Winco K.C. Yung, Zeyu Wu, B. Sun Files PDF 2950482.pdf 3.62 MB Close viewer /islandora/object/uuid:cf3e4c2a-db2f-4230-b262-1235be8a92c7/datastream/OBJ/view