Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques

Danish Rafique; Helmut Griesser; Khouloud Abdelli; Stephan Pachnicke

arxiv: 2203.14762 · v1 · pith:T6SPMVZ7 · submitted 2022-03-19 · eess.SP · cs.LG

Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques

Khouloud Abdelli , Danish Rafique , Helmut Griesser , Stephan Pachnicke This is my paper

Reviewed by Pithpith:T6SPMVZ7 open to challenge →

classification eess.SP cs.LG

keywords lifetimelaserpredictionacceleratedagingapproachartificialconventional

0 comments

read the original 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.

This paper has not been read by Pith yet.

Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques

discussion (0)