Application of Infrared Imaging Technology in Fault Diagnosis of Electrical Equipment

被引:3
|
作者
Li, Baoshu [1 ]
Xu, Xuetao [1 ]
Cui, Kebin [2 ]
Wei, Wenli [1 ]
机构
[1] North China Elect Power Univ, Dept Elect Engn, Baoding 071000, Hebei, Peoples R China
[2] North China Elect Power Univ, Dept Comp Sci, Baoding 071000, Hebei, Peoples R China
关键词
Electrical equipment; Image preprocessing; Topology matrix; Fault diagnosis;
D O I
10.4028/www.scientific.net/AMM.401-403.974
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Most of electrical equipment failure are associated with overheating and have the characteristics of regional in power systems, temperature and grey value has the nonlinear mapping relationship in infrared image. In this paper, in order to extract image edge features, the infrared image would be preprocessed, then we can achieve identification mark of higher image gray value and automatic achieve the positioning of electrical equipment's high temperature area by the topology matrix correction, and then using relative temperature difference method to judge electrical equipment failure. Experimental results show that this method can quickly and effectively locating and identify suspected overheat fault of electrical equipment.
引用
收藏
页码:974 / +
页数:2
相关论文
共 50 条
  • [1] 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
  • [2] Fault Diagnosis of Electrical Equipment Based on Infrared Thermal Imaging
    Fang, Lijian
    [J]. Nonlinear Optics Quantum Optics, 2023, 57 (1-2): : 99 - 110
  • [3] Infrared Technology in the Fault Diagnosis of Substation Equipment
    Cao, Yang
    Gu, Xiaoming
    Jin, Qi
    [J]. 2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2, 2009, : 81 - 86
  • [4] Infrared Technology in the Fault Diagnosis of Substation Equipment
    Cao Yang
    Gu Xiao-ming
    Jin Qi
    [J]. 2008 CHINA INTERNATIONAL CONFERENCE ON ELECTRICITY DISTRIBUTION, VOLS 1 AND 2, 2009, : 318 - 323
  • [5] The application study of the infrared imaging technology on the transformer fault diagnosis
    Hou, PG
    Wang, YJ
    Wang, YT
    Meng, Z
    [J]. INFRARED COMPONENTS AND THEIR APPLICATIONS, 2005, 5640 : 253 - 259
  • [6] Electrical equipment fault diagnosis technology and research
    Li, Shu-E
    [J]. DESIGN, MANUFACTURING AND MECHATRONICS (ICDMM 2015), 2016, : 17 - 22
  • [7] Application of Infrared Temperature Measurement Technology in the Electric Power Equipment Fault Diagnosis
    Wang, Jia-lin
    Cui, Hao-yang
    Xu, Hao-ze
    Li, Xiang
    Tang, Zhong
    [J]. INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND ARTIFICIAL INTELLIGENCE (ICCSAI 2014), 2015, : 166 - 169
  • [8] An intelligent infrared image fault diagnosis for electrical equipment
    Lin, Ying
    Zhang, Weiwei
    Zhang, Hao
    Bai, Demeng
    Li, Jun
    Xu, Ran
    [J]. 2020 5TH ASIA CONFERENCE ON POWER AND ELECTRICAL ENGINEERING (ACPEE 2020), 2020, : 1829 - 1833
  • [9] An Infrared Detection Method Used In Electrical Equipment Fault Diagnosis
    Li Feng
    Li Jianfeng
    Meng Yu
    Tong Rui
    Liu Ren
    Zu Bo
    Liu Wei
    Liu Lin
    Wang Zhaoxia
    Cheng Xingjun
    Chen Guorui
    Liu Min
    [J]. PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON MACHINERY, MATERIALS AND COMPUTING TECHNOLOGY, 2016, 60 : 1447 - 1450
  • [10] Application of Infrared Thermal Imaging Technology in Fault Diagnosis of Mine Car Wheels
    Du, Jingyi
    Chen, Kang
    Liu, Qingli
    Wang, Jiacheng
    [J]. PROCEEDINGS OF 2019 IEEE 3RD INFORMATION TECHNOLOGY, NETWORKING, ELECTRONIC AND AUTOMATION CONTROL CONFERENCE (ITNEC 2019), 2019, : 1288 - 1291