Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques

Abstract

A novel approach based on an artificial neural network (ANN) for lifetime prediction of 1.55 um InGaAsP MQW-DFB laser diodes is presented. It outperforms the conventional lifetime projection using accelerated aging tests.

Optical Fiber Communications Conference and Exhibition (OFC) 2020

References in corpus (1)

• Machine Learning based Laser Failure Mode Detection

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