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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Main Author:	Tan, Kai Zhe
Format:	Thesis
Language:	English
Published:	2021
Subjects:	QA1 Mathematics (General)
Online Access:	http://eprints.usm.my/53654/1/TAN%20KAI%20ZHE%20-%20TESIS.pdf%20cut.pdf
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id	my-usm-ep.53654
record_format	uketd_dc
spelling	my-usm-ep.536542022-07-28T01:37:28Z Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis 2021-01 Tan, Kai Zhe QA1 Mathematics (General) 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. 2021-01 Thesis http://eprints.usm.my/53654/ http://eprints.usm.my/53654/1/TAN%20KAI%20ZHE%20-%20TESIS.pdf%20cut.pdf application/pdf en public masters Universiti Sains Malaysia Pusat Pengajian Sains Matematik (School of Mathematical Sciences)
institution	Universiti Sains Malaysia
collection	USM Institutional Repository
language	English
topic	QA1 Mathematics (General)
spellingShingle	QA1 Mathematics (General) Tan, Kai Zhe Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
description	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.
format	Thesis
qualification_level	Master's degree
author	Tan, Kai Zhe
author_facet	Tan, Kai Zhe
author_sort	Tan, Kai Zhe
title	Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
title_short	Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
title_full	Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
title_fullStr	Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
title_full_unstemmed	Lumen Maintenance And Trend Predictions For Light-Emitting Diodes Using Regression Analysis
title_sort	lumen maintenance and trend predictions for light-emitting diodes using regression analysis
granting_institution	Universiti Sains Malaysia
granting_department	Pusat Pengajian Sains Matematik (School of Mathematical Sciences)
publishDate	2021
url	http://eprints.usm.my/53654/1/TAN%20KAI%20ZHE%20-%20TESIS.pdf%20cut.pdf
_version_	1747822254482259968

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

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