Neural network-based faulty line identification in power distribution systems

被引：0
|
作者：
机构：
来源：
Electr Mach Power Syst | / 12卷 / 1343-1354期
关键词：
Compendex;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
5
引用
收藏
相关论文
共 50 条
  • [31] CONSTRAINED NEURAL NETWORK-BASED IDENTIFICATION OF HARMONIC SOURCES
    HARTANA, RK
    RICHARDS, GG
    IEEE TRANSACTIONS ON INDUSTRY APPLICATIONS, 1993, 29 (01) : 202 - 208
  • [32] Neural network-based identification of missile aerodynamical parameters
    Zha, X
    Hu, YN
    Cui, PY
    ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 1487 - 1489
  • [33] Neural network-based identification of SMB chromatographic processes
    Wang, C
    Klatt, KU
    Dünnebier, G
    Engell, S
    Hanisch, F
    CONTROL ENGINEERING PRACTICE, 2003, 11 (08) : 949 - 959
  • [34] Neural network-based fiber optic cable fault prediction study for power distribution communication network
    Zhang L.
    Yan L.
    Shen W.
    Li F.
    Wu J.
    Liang W.
    Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [35] Research on Wireless Network-based Power Line Inspection
    Han Kai
    Xu Hongrui
    2009 INTERNATIONAL FORUM ON INFORMATION TECHNOLOGY AND APPLICATIONS, VOL 1, PROCEEDINGS, 2009, : 379 - +
  • [36] A Morlet wavelet neural network-based online identification and control of coupled MIMO systems
    Varshney, Tarun
    Sheel, Satya
    INTERNATIONAL JOURNAL OF AUTOMATION AND CONTROL, 2012, 6 (3-4) : 246 - 260
  • [37] A Neural Network-based Contraction Control with Online Parameter Identification for Uncertain Nonlinear Systems
    Wei, Lai
    McCloy, Ryan
    Bao, Jie
    2021 AUSTRALIAN & NEW ZEALAND CONTROL CONFERENCE (ANZCC), 2021, : 143 - 148
  • [38] Neural network-based estimation of power electronic waveforms
    Kim, MH
    Simoes, MG
    Bose, BK
    IEEE TRANSACTIONS ON POWER ELECTRONICS, 1996, 11 (02) : 383 - 389
  • [39] Graph Neural Network-based Power Flow Model
    Tuo, Mingjian
    Li, Xingpeng
    Zhao, Tianxia
    2023 NORTH AMERICAN POWER SYMPOSIUM, NAPS, 2023,
  • [40] Artificial neural network-based power quality compensator
    Tekwani P.N.
    Chandwani A.
    Sankar S.
    Gandhi N.
    Chauhan S.K.
    International Journal of Power Electronics, 2020, 11 (02) : 236 - 255
12345