Yannick Deshayes – författare

Reliability Investigation of LED Devices for Public Light Applications focuses on state-of-the-art GaN-based LED technology through the study of typical failure mechanisms in public lighting applications.

Across the different chapters, the reader will explore the tools and analyses involved in the study and application of a number of different LED devices. The authors review GaN-based LED technology by focusing on the main failure mechanisms targeting polymer-based packaging, thanks to electrical and spectral models.

The proposed technology and methodologies will help those interested in the topic to further their knowledge of failure mechanisms, exploring the physical and chemical analyses involved.

Based on the work of two main Phd results in 2011 and 2014 Describes GaN technology in the state-of-the-art, focusing on the specific electrical and spectral model Proposes the technology and methodologies to understand failure mechanisms

The rapid growth of the use of optoelectronic technology in Information and Communications Technology (ICT) has seen a complementary increase in the performance of such technologies. As a result, optoelectronic technologies have replaced the technology of electronic interconnections. However, the control of manufacturing techniques for optoelectronic systems is more delicate than that of microelectronic technologies.This practical resource, divided into four chapters, examines several methods for determining the reliability of infrared LED devices. The primary interest of this book focuses on methods of extracting fundamental parameters from the electrical and optical characterization of specific zones in components. Failure mechanisms are identified based on measured performance before and after aging tests. Knowledge of failure mechanisms allows formulation of degradation laws, which in turn allow an accurate lifetime distribution for specific devices to be proposed.

Deals exclusively with reliability, based on the physics of failure for infrared LEDs Identifies failure mechanisms, lifetime distribution, and selection of the best component for dedicated applications Uses a complete methodology to reduce the number of samples needed to estimate lifetime distribution Focuses on the method to extract fundamental parameters from electrical and optical characterizations