IEEE Mediterranean Eletrotechnical Conference 2020

IEEE MELECON 2020

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Conference Track

Session 2.3 - Artificial Intelligence and Big Data Analytics

LED junction temperature prediction using machine learning techniques

  Massimo Merenda

  • ABSTRACT

Light Emitting Diodes (LEDs) are the longest lasting source of artificial illumination whose duration can exceed 50.000 continuous working hours. Nevertheless, they show a gradual reduction of the luminous flux due to the increase of the device temperature. In this work, a Machine Learning algorithm will be introduced and discussed, able to predict the junction temperature value of a LED in real-time while connected in the end-user circuit, taking into account current and voltage flowing in the device and, further, the actual model and aging of the LED. The algorithm was implemented on a microcontroller, showing the feasibility of performing edge machine learning on tiny yet powerful devices.

  • PRESENTER

Massimo Merenda
  Università Mediterranea di Reggio Calabria, Italy

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