HV power equipment diagnosis based on infrared imaging analyzing

被引:0
|
作者
Li, Baoshu [1 ]
Zhu, Xiaohui [2 ]
Zhao, Shutao [1 ]
Niu, Wendong [3 ]
机构
[1] N China Elect Power Univ, Minist Educ, Key Lab Power Syst Protect & Dynam Secur Monitor, Baoding 071003, Peoples R China
[2] N China Elect Power Univ, Baoding 071003, Peoples R China
[3] Shandong Elect Power Sch, Tai An, Shandong, Peoples R China
关键词
power equipment; infrared image; feature extraction; Neutral nets; Recognition;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Infrared imaging detection is an important method detecting the high-voltage(HV) power equipments running state. It is a kinds of non-contact on-line measurement that can determine the HV power equipment running state, find the fault position and predictive its future state. In the process of the infrared images analyzing, the computer captures remote equipments images, calculates images' moment invariants as characteristic vector of recognition, recognizes power equipments by support vector machine (SVM). The system further analyzes images and find if images has convex hull, intensive stochastic noise, or false edges, sequently make a conclusion whether the running state of equipments is in order. Replace of scouting by people themselves, the use of image recognition in power system can timely find troubles and potential troubles of power equipments.
引用
收藏
页码:1988 / +
页数:2
相关论文
共 50 条
  • [1] Research on HV-Power Equipment Diagnosis by Infrared Image Edge Detection
    Li, Huangqiang
    Sun, Yunlian
    Li, Hong
    [J]. 2009 ASIA-PACIFIC POWER AND ENERGY ENGINEERING CONFERENCE (APPEEC), VOLS 1-7, 2009, : 3634 - +
  • [2] The Methods in Infrared Thermal Imaging Diagnosis Technology of Power Equipment
    Cui, Haoyang
    Xu, Yongpeng
    Zeng, Jundong
    Tang, Zhong
    [J]. 2013 IEEE 4TH INTERNATIONAL CONFERENCE ON ELECTRONICS INFORMATION AND EMERGENCY COMMUNICATION (ICEIEC), 2014, : 246 - 249
  • [3] Fault Diagnosis of Electrical Equipment Based on Infrared Thermal Imaging
    Fang, Lijian
    [J]. NONLINEAR OPTICS QUANTUM OPTICS-CONCEPTS IN MODERN OPTICS, 2023, 57 (1-2): : 99 - 110
  • [4] Fault Diagnosis of Electrical Equipment Based on Infrared Thermal Imaging
    Fang, Lijian
    [J]. Nonlinear Optics Quantum Optics, 2023, 57 (1-2): : 99 - 110
  • [5] Failure Detection Of Infrared Thermal Imaging Power Equipment Based On Improved DenseNet
    Mei, Bingxiao
    Han, Rui
    Jiang, Xiongwei
    Wang, Yue
    Yin, Decai
    [J]. 2021 14TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2021), 2021,
  • [6] Condition monitoring on HV equipment in CLP Power
    Fung, K. Y.
    Sit, K. L.
    Chan, L. K.
    So, K. L.
    [J]. PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS, 2007, : 679 - 683
  • [7] Application of Infrared Imaging Technology in Fault Diagnosis of Electrical Equipment
    Li, Baoshu
    Xu, Xuetao
    Cui, Kebin
    Wei, Wenli
    [J]. FRONTIERS OF MANUFACTURING SCIENCE AND MEASURING TECHNOLOGY III, PTS 1-3, 2013, 401 : 974 - +
  • [8] HV power equipment running state detection based on image processing and recognition
    Zhao, Shutao
    Li, Baoshu
    Zhu, Xiaohui
    [J]. 2006 INTERNATIONAL CONFERENCE ON POWER SYSTEMS TECHNOLOGY: POWERCON, VOLS 1- 6, 2006, : 1254 - +
  • [9] Fault Diagnosis for Power Equipment Based on IoT
    Zhu, Yusheng
    Huang, Xiaoqing
    Zhang, Junyong
    Luo, Jie
    He, Jie
    [J]. INTERNET OF THINGS-BK, 2012, 312 : 298 - 304
  • [10] Fault diagnosis method of substation equipment based on You Only Look Once algorithm and infrared imaging
    Liu, Tao
    Li, Guolong
    Gao, Yuan
    [J]. ENERGY REPORTS, 2022, 8 : 171 - 180