Khouloud Abdelli, D. Rafique, H. Griesser, S. Pachnicke
{"title":"Lifetime Prediction of 1550 nm DFB Laser using Machine Learning Techniques","authors":"Khouloud Abdelli, D. Rafique, H. Griesser, S. Pachnicke","doi":"10.1364/OFC.2020.Th2A.3","DOIUrl":null,"url":null,"abstract":"A novel approach based on an artificial neural network (ANN) for lifetime prediction of 1.55 μm InGaAsP MQW-DFB laser diodes is presented. It outperforms the conventional lifetime projection using accelerated aging tests.","PeriodicalId":173355,"journal":{"name":"2020 Optical Fiber Communications Conference and Exhibition (OFC)","volume":"61 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2020 Optical Fiber Communications Conference and Exhibition (OFC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/OFC.2020.Th2A.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 6
Abstract
A novel approach based on an artificial neural network (ANN) for lifetime prediction of 1.55 μm InGaAsP MQW-DFB laser diodes is presented. It outperforms the conventional lifetime projection using accelerated aging tests.