GAN Based Soft Failure Detection and Identification for Long-haul Coherent Transmission Systems

被引：0

作者：

Lun, Huazhi ^{[1
]}

Liu, Xiaomin ^{[1
]}

Cai, Meng ^{[1
]}

Wu, Viwen ^{[1
]}

Fu, Mengfan ^{[1
]}

Vi, Lilin ^{[1
]}

Hu, Weisheng ^{[1
]}

Zhuge, Qunbi ^{[1
]}

机构：

[1] Shanghai Jiao Tong Univ, State Key Lab Adv Opt Commun Syst & Networks, Dept Elect Engn, Shanghai 200240, Peoples R China

来源：

2021 OPTICAL FIBER COMMUNICATIONS CONFERENCE AND EXPOSITION (OFC) | 2021年

基金：

国家重点研发计划; 中国国家自然科学基金;

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：

We propose a GAN based soft failure detection and identification algorithm. For the training, the detection and identification only need normal samples and very few soft failure samples, respectively. 95% accuracy is achieved in experiment. (c) 2021 The Author(s)

引用

页数：3

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