Learning from the Optical Spectrum: Soft-Failure Identification and Localization

被引：0
|
作者：
Velasco, Luis [1 ]
Shariati, Behnam [1 ]
Vela, Alba P. [1 ]
Comellas, Jaume [1 ]
Ruiz, Marc [1 ]
机构：
[1] UPC, Opt Commun Grp GCO, Barcelona, Spain
来源：
2018 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2018年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The availability of coarse-resolution cost-effective Optical Spectrum Analyzers ( OSA) allows its widespread deployment in operators' networks. In this paper, several machine learning approaches for failure identification and localization that take advantage of OSAs are presented. (c) 2018 Optical Society of America
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页数：3
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