Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis

This study aims to improve the prediction of lumen maintenance life under different thermal-electrical conditions and the Eyring model is proposed in this study. The model parameters are determined by regression approach, which provides the goodness of fit of the prediction model as well as the pr...

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书目详细资料
主要作者: Tan, Kai Zhe
格式: Thesis
语言:English
出版: 2021
主题:
在线阅读:http://eprints.usm.my/53654/1/TAN%20KAI%20ZHE%20-%20TESIS.pdf%20cut.pdf
http://eprints.usm.my/53654/
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总结:This study aims to improve the prediction of lumen maintenance life under different thermal-electrical conditions and the Eyring model is proposed in this study. The model parameters are determined by regression approach, which provides the goodness of fit of the prediction model as well as the prediction interval. Apart from this, a method to predict lumen depreciation trend for different operating conditions based on the Eyring model and regression approach is also established. The findings show that the lumen maintenance life and lumen depreciation trend predicted by the Eyring model are more accurate compared to the predictions made by Arrhenius equation and Black’s model.