Visual analytics and prediction system based on deep belief networks for icing monitoring data of overhead power transmission lines

被引:0
|
作者
Chi Zhang
Qing-wu Gong
Koji Koyamada
机构
[1] Wuhan University,School of Electrical Engineering and Automation
[2] Kyoto University,Graduate School of Engineering
[3] Kyoto University,Academic Center for Computing and Media Studies
来源
Journal of Visualization | 2020年 / 23卷
关键词
Icing thickness; Visualization; Deep belief network; Power transmission line;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:1087 / 1100
页数:13
相关论文
共 50 条
  • [21] Transmission lines fault location estimation based on artificial neural networks and power quality monitoring data
    Hubana, Tank
    2018 IEEE PES INNOVATIVE SMART GRID TECHNOLOGIES CONFERENCE EUROPE (ISGT-EUROPE), 2018,
  • [22] A novel Fault Diagnosis Method for Power Transmission Lines Based on Improved Deep Belief Network
    Sun, Caitang
    Xiao, Wei
    Li, Gang
    6TH INTERNATIONAL CONFERENCE ON ADVANCES IN ENERGY RESOURCES AND ENVIRONMENT ENGINEERING, 2021, 647
  • [23] An IoT-Based System for Monitoring the Health of Guyed Towers in Overhead Power Lines
    Dias, Claudio Ferreira
    de Oliveira, Juliane Regina
    de Mendonca, Lucas D.
    de Almeida, Larissa M.
    de Lima, Eduardo R.
    Wanner, Lucas
    SENSORS, 2021, 21 (18)
  • [24] A Monitoring System Design in Transmission Lines based on Wireless Sensor Networks
    Yang, Yang
    Xie, Guangzhong
    Xu, Xiangdong
    Jiang, Yadong
    PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SMART GRID AND CLEAN ENERGY TECHNOLOGIES (ICSGCE 2011), 2011, 12
  • [25] A Web-Based Visual Analytics System for Air Quality Monitoring Data
    Liao, Zhifang
    Peng, Yanni
    Li, Yong
    Liang, Xing
    Zhao, Ying
    2014 22ND INTERNATIONAL CONFERENCE ON GEOINFORMATICS (GEOINFORMATICS 2014), 2014,
  • [26] An Edge Visual Incremental Perception Framework Based on Deep Semi-supervised Learning for Monitoring Power Transmission Lines
    Zhang, Jun
    Wang, Jiye
    Song, Rui
    Peng, Guozheng
    Pu, Tianjiao
    Zhang, Shuhua
    CSEE JOURNAL OF POWER AND ENERGY SYSTEMS, 2023, 9 (02): : 759 - 768
  • [27] A Practical On-line Condition Monitoring and Fault Location System for Overhead Power Lines Distribution Networks
    Tang, Xianwu
    Zhang, Jianliang
    Li, Jin'ao
    2014 IEEE PES T&D CONFERENCE AND EXPOSITION, 2014,
  • [28] A Method for Power System Transient Stability Assessment Based on Deep Belief Networks
    Zhu Q.
    Dang J.
    Chen J.
    Xu Y.
    Li Y.
    Duan X.
    Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2018, 38 (03): : 735 - 743
  • [29] Power system transmission line fault diagnosis based on combined data analytics
    Wu, Honghao
    Liu, Junyong
    Liu, Youbo
    Qiu, Gao
    Taylor, Gareth A.
    2017 IEEE POWER & ENERGY SOCIETY GENERAL MEETING, 2017,
  • [30] Verification System of monitoring equipment to overhead galloping transmission lines based on draw-wire sensors
    Zhou, Xiang
    Mu, Haibao
    Wei, Jianlin
    He, Jian
    Zhang, Guanjun
    2016 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (CMD), 2016, : 606 - 609