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.
Cite
@article{arxiv.2203.14762,
title = {Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques},
author = {Khouloud Abdelli and Danish Rafique and Helmut Griesser and Stephan Pachnicke},
journal= {arXiv preprint arXiv:2203.14762},
year = {2022}
}
Comments
Optical Fiber Communications Conference and Exhibition (OFC) 2020