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Lifetime Prediction of 1550 nm DFB Laser using Machine learning Techniques

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

classification eess.SPcs.LG
keywords lifetimelaserpredictionacceleratedagingapproachartificialconventional
verification ladder T0 review T1 audit T2 compute T3 formal
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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.

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