Optical Cable Lifespan Prediction Method Based on Autoformer

Author:

Niu Mengchao1,Li Yuan1ORCID,Zhu Jiaye1

Affiliation:

1. School of Computer Science, Central China Normal University, Wuhan 430079, China

Abstract

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 technology reliability and the management of associated industries.

Funder

Wuhan National Laboratory for Optoelectronics and China Southern Power Grid Company Co., Ltd.

Publisher

MDPI AG

Reference19 articles.

1. Evaluation of Fibre Lifetime in Optical Ground Wire Transmission Lines;Grunvalds;Latv. J. Phys. Tech. Sci.,2017

2. Burdin, V., Andreev, V., Bourdine, A., Dashkov, M., and Nizhgorodov, A. (2020, January 26–28). Reliability and lifetime estimations for field-aged optical cable. Proceedings of the Internet of Things, Smart Spaces, and Next Generation Networks and Systems: 20th International Conference, NEW2AN 2020, and 13th Conference, ruSMART 2020, St. Petersburg, Russia.

3. Burdin, V.A., and Nizhgorodov, A.O. (2020, January 22). Lifetime prediction algorithm for an optical cable of cable link under exploitation. Proceedings of the Optical Technologies for Telecommunications, Bellingham, WA, USA.

4. Burdin, V.A., Nikulina, T.G., and Praporshchikov, D.E. (2022, January 25). Method for predicting the lifetime of an optical cable after the maintenance cycle. Proceedings of the Optical Technologies for Telecommunications, Bellingham, WA, USA.

5. Simple Approximate Formula for Forecast of The Lifetime of the Optical Fibers of a Cable Communication Line;Nizhgorodov;Infokommunikacionnye Tehnol.,2021

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3