Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
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Date
2021-01
Authors
Tan, Kai Zhe
Journal Title
Journal ISSN
Volume Title
Publisher
Universiti Sains Malaysia
Abstract
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.
Description
Keywords
Lumen Maintenance , Trend Predictions , Light-Emitting Diodes , Regression Analysis