Machine Learning to Predict Junction Temperature Based on Optical Characteristics in Solid-State Lighting Devices: A Test on WLEDs

Machine Learning to Predict Junction Temperature Based on Optical Characteristics in Solid-State Lighting Devices: A Test on WLEDs

While junction temperature control is an indispensable part of having reliable solid-state lighting, there is no direct method to measure its quantity. Among various methods, temperature-sensitive optical parameter-based junction temperature measurement techniques have been used in practice. Researc...

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Bibliographic Details
Main Authors: Mohammad Azarifar, Kerem Ocaksonmez, Ceren Cengiz, Reyhan Aydoğan, Mehmet Arik
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Micromachines
Subjects:
junction temperature
temperature prediction
light emitting diodes
machine learning
solid-state lighting
gradient boosted trees
Online Access:https://www.mdpi.com/2072-666X/13/8/1245

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