SPLGMar 19, 2022

Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques

arXiv:2203.14762v110 citationsh-index: 30
Originality Synthesis-oriented
AI Analysis

This work addresses lifetime prediction for laser diodes, which is important for reliability in telecommunications, but appears incremental as it applies an existing machine learning method to a specific domain.

The paper tackled the problem of predicting the lifetime of 1550 nm DFB laser diodes by developing a novel artificial neural network approach, which outperformed conventional accelerated aging tests, though no concrete numbers were provided for the improvement.

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.

Foundations

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