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Optical Cable Lifespan Prediction Method Based on Autoformer

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成果类型:
期刊论文
作者:
Niu, Mengchao;Li, Yuan;Zhu, Jiaye
通讯作者:
Li, Y
作者机构:
[Li, Yuan; Li, Y; Niu, Mengchao; Zhu, Jiaye] Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Li, Y ] C
Cent China Normal Univ, Sch Comp Sci, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
fiber optic cable lifespan;prediction;deep learning models;Autoformer
期刊:
Applied Sciences-Basel
ISSN:
2076-3417
年:
2024
卷:
14
期:
14
基金类别:
Wuhan National Laboratory for Optoelectronics and China Southern Power Grid Company Co., Ltd.
机构署名:
本校为第一且通讯机构
院系归属:
计算机学院
摘要:
We proposed a novel method for predicting the service life of optical cables based on the Autoformer model combined with the calculation method. Leveraging historical weather data from Guangzhou and employing specific cable length calculation techniques, our study comprehensively considers factors impacting cable lifespan. Moreover, through comparative analysis with alternative deep learning models and parameter assessments, our method validates the superiority and stability of the Autoformer model in predicting cable lifespan, which can offer a more reliable approach for ensuring cable techno...

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