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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Detalles Bibliográficos
Autores principales: Azarifar, Mohammad, Ocaksonmez, Kerem, Cengiz, Ceren, Aydoğan, Reyhan, Arik, Mehmet
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412268/
https://www.ncbi.nlm.nih.gov/pubmed/36014167
http://dx.doi.org/10.3390/mi13081245

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9412268/
https://www.ncbi.nlm.nih.gov/pubmed/36014167
http://dx.doi.org/10.3390/mi13081245

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