Pre-diagnosis of Failure Spots in Orange AlInGaP Light-Emitting Diodes Soaked in Liquid Nitrogen Using Machine Vision and Multiple Optical, Electrical, and Material Characterizations

Chyuan Haur Kao, Yu Chang Zang, Jia Jie Jhang, Pin En Chiu, Chun Yen Yang, Hai Wen Hsu, Yaw Wen Kuo, Chia Feng Lin, Ming Yu Kuo, Yung Hui Li, Ming Hsien Li*, Hsiang Chen, Jung Han

*Corresponding author for this work

Research output: Contribution to journalJournal Article peer-review

3 Scopus citations

Abstract

In this study, Pre-diagnosis of degraded aluminum indium gallium phosphide (AlInGaP) light-emitting diodes (LEDs) that were soaked in liquid nitrogen (LN2) was performed. To visualize the early deterioration of LED emission, a combination of material, electrical, optical, and computer-aided machine-vision analysis of LED failure spots on the surface was examined. Results indicate that several small failure spots, which can be identified by the MATLAB processed emission images and surface roughness variation, can be found. Furthermore, LN2 soaking induced some local damages inside the device that penetrate the multiple-quantum well. The decrease of current and luminescence intensity also reflects the gradual degradation of the device after being soaked in LN2. This integrated analysis and Pre-diagnosis of the degraded device provided early screening of LED failure spots and real-time inspection during operations.

Original languageEnglish
Pages (from-to)4386-4391
Number of pages6
JournalIEEE Transactions on Electron Devices
Volume69
Issue number8
DOIs
StatePublished - 01 08 2022

Bibliographical note

Publisher Copyright:
© 1963-2012 IEEE.

Keywords

  • Aluminum indium gallium phosphide (AlInGaP) light-emitting diode (LED)
  • computer vision
  • damages
  • failure spots
  • liquid nitrogen (LN-)
  • pre-diagnosis

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