A trend of diagnosis for electric power equipment using image data

被引:0
作者
System Engineering Research Laboratry, CRIEPI, 2-11-1, Iwado Kita, Komae-shi, Tbkyo 201-8511, Japan [1 ]
机构
[1] System Engineering Research Laboratry, CRIEPI, Komae-shi, Tbkyo 201-8511, 2-11-1, Iwado Kita
来源
IEEJ Trans. Electron. Inf. Syst. | 2006年 / 2卷 / 161-166期
关键词
Diagnosis; Electric Power Equipment; Image Data; Maintenance;
D O I
10.1541/ieejeiss.126.161
中图分类号
学科分类号
摘要
Japanese electric power companies aim to utilize existing equipment fully and to maintain facilities effectively. And digital camera and digital video technologies have realized high performance and low price recentlly. In this explanation, we describe a trend of diagnosis for electric power equipment using digital image data. Especially, we intorduce a cross arm reuse judgement system, an analog meter reader system, and an abnormal points of power lines detection support system.
引用
收藏
页码:161 / 166
页数:5
相关论文
共 50 条
  • [1] Information model for power equipment diagnosis and maintenance
    Dong, XH
    Liu, YL
    LoPinto, FA
    Scheibe, KP
    Sheetz, SD
    2002 IEEE POWER ENGINEERING SOCIETY WINTER MEETING, VOLS 1 AND 2, CONFERENCE PROCEEDINGS, 2002, : 701 - 706
  • [2] Abnormality Diagnosis in NPP Using Artificial Intelligence Based on Image Data
    Lee, Sang Hyun
    Oh, Sang Won
    Jo, Hye Seon
    Na, Man Gyun
    2021 5TH INTERNATIONAL CONFERENCE ON SYSTEM RELIABILITY AND SAFETY (ICSRS 2021), 2021, : 103 - 107
  • [3] Applications of Fuzzy Multilayer Support Vector Machines in Fault Diagnosis and Forecast of Electric Power Equipment
    Peng, Gang
    Tang, Songping
    Lin, Zhiming
    Zhang, Yun
    2017 IEEE 2ND ADVANCED INFORMATION TECHNOLOGY, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (IAEAC), 2017, : 457 - 461
  • [4] Research on quality problems management of electric power equipment based on knowledge-data fusion method
    Han, Xiao
    Jiang, Jun
    Zhang, Chaohai
    Wen, Zhe
    Chen, Guang
    Liu, Yang
    IET GENERATION TRANSMISSION & DISTRIBUTION, 2020, 14 (05) : 745 - 751
  • [5] Informational and Analytical System for Diagnostics of the Electric Power Equipment Condition
    Oleg, Shutenko
    Oleksii, Kulyk
    Serhii, Ponomarenko
    2020 IEEE 7TH INTERNATIONAL CONFERENCE ON ENERGY SMART SYSTEMS (2020 IEEE ESS), 2020, : 105 - 110
  • [6] A Method of Electric Power Equipment Integrated Modeling Based on Carrier
    Liu, Junzhou
    Zhang, Haibin
    Yue, Quanming
    INTERNATIONAL CONFERENCE ON APPLIED PHYSICS AND INDUSTRIAL ENGINEERING 2012, PT A, 2012, 24 : 163 - 168
  • [7] Development of Asset Management Support Tools for Electric Power Equipment
    Okamoto, Tatsuki
    Takahashi, Tsuguhiro
    PROCEEDINGS OF 2012 IEEE INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS (IEEE CMD 2012), 2012, : 1 - 8
  • [8] Three-dimensional Visualization Scheme of Infrared Thermal Temperature Measurement Data for Substaition Electric Power Equipment
    Shen X.
    Yu X.
    Wang Y.
    Cheng L.
    Wang D.
    Chen J.
    Gaodianya Jishu/High Voltage Engineering, 2021, 47 (02): : 387 - 395
  • [9] Evaluation of power equipment suppliers based on intelligent mining of electric power dialogue text
    Wang H.
    Wang H.
    Hu J.
    Xu J.
    Li J.
    He B.
    Dianli Zidonghua Shebei/Electric Power Automation Equipment, 2021, 41 (07): : 210 - 217
  • [10] Recent technology of sensing, monitoring, diagnosis, and maintenance for aged electric power and energy System
    Matsumoto, Satoshi
    IEEJ Transactions on Power and Energy, 2006, 126 (06) : 574 - 577