• Optical Communication Technology
  • Vol. 47, Issue 9, 31 (2021)
WANG Feng1, LI Xinghua1, LI Xiaolong1, LIU Ruizeng2..., ZHUANG Haotao3 and ZHAO Yongli3|Show fewer author(s)
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    DOI: 10.13921/j.cnki.issn1002-5561.2021.09.008 Cite this Article
    WANG Feng, LI Xinghua, LI Xiaolong, LIU Ruizeng, ZHUANG Haotao, ZHAO Yongli. Fault prediction algorithm of optical communication equipment based on health profiles[J]. Optical Communication Technology, 2021, 47(9): 31 Copy Citation Text show less
    References

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    [5] WANG F, ZHAO Y L, WANG W, et al. Machine learning with service classification for detecting control plane intrusions in software defined optical networks[C]//23rd Opto-Electronics and Communications Conference, July 2-6, 2018, Jeju Island, Korea (South). Piscataway: IEEE, 2019: 1-2.

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    [14] ZHUANG H, ZHAO Y, YU X, et al. Machine-learning-based alarm prediction with GANs-based self-optimizing data augmentation in large-scale optical transport networks[C]//2020 International Conference on Computing, Networking and Communications (ICNC), February 17-20, 2020, Big Island, USA. Piscataway: IEEE, 2020: 294-298.

    WANG Feng, LI Xinghua, LI Xiaolong, LIU Ruizeng, ZHUANG Haotao, ZHAO Yongli. Fault prediction algorithm of optical communication equipment based on health profiles[J]. Optical Communication Technology, 2021, 47(9): 31
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