Study on the Fault Arc On-line Detecting Based on Wavelet Singularity Detection Principle

被引:4
|
作者
Yang Yi [1 ]
Yu Qiongfang [1 ,2 ]
Dong Aihua [1 ]
Zheng Dezhong [2 ]
机构
[1] Henan Polytech Univ, Sch Elect Engn & Automat, Jiaozuo, Peoples R China
[2] Yanshan univ, Measurement Technol & Instrument Key Lab, Yanshan, Peoples R China
关键词
fault arc; on-line detecting; wavelet singularity detection principle;
D O I
10.1109/ICIE.2009.130
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
For the current value of fault arc can not make protection devices action, the fault arc can not be found easily and cut off timely when the arc is come into being in power supply line. Therefore, it is very necessary to research the reliable and effective method for detecting fault arc. Through the simulation experiments to the fault arc, found an important characteristic of fault arc, that is the arc would present cyclical singular paints when it is burning smoothly. According to this characteristic of fault arc, applying the singularity detection principle of the wavelet transform, studied the detecting method of fault arc in power supply line. Through the imitation and comparison of the test data, the fault arc's detecting method based on wavelet singularity detection principle shows remarkable effect to improve the reliability of fault arc detection.
引用
收藏
页码:151 / +
页数:2
相关论文
共 50 条
  • [1] Analysis of on-line detection of hydrogen gas concentration in power transformer based on singularity detection with wavelet
    Yuan, Baokui
    Guo, Jiwei
    Tang, Guoqing
    [J]. 2001, Science Press (27):
  • [3] On-line system for fault detection in induction machines based on wavelet convolution
    Cusido, J.
    Cusido, M.
    Garcia, A.
    Ortega, J. A.
    Romeral, L.
    Author, Q.
    [J]. 2007 IEEE POWER ELECTRONICS SPECIALISTS CONFERENCE, VOLS 1-6, 2007, : 927 - 932
  • [4] Application of wavelet singularity detection to realize preprocessing of on-line monitoring data
    Wang, N
    Lu, FC
    Li, HM
    [J]. ICEMI'2003: PROCEEDINGS OF THE SIXTH INTERNATIONAL CONFERENCE ON ELECTRONIC MEASUREMENT & INSTRUMENTS, VOLS 1-3, 2003, : 1006 - 1009
  • [5] Arc fault detection based on wavelet packet
    Li, WJ
    Li, YC
    [J]. Proceedings of 2005 International Conference on Machine Learning and Cybernetics, Vols 1-9, 2005, : 1783 - 1788
  • [6] Model-based and wavelet approaches to induction motor on-line fault detection
    Combastel, C
    Lesecq, S
    Petropol, S
    Gentil, S
    [J]. CONTROL ENGINEERING PRACTICE, 2002, 10 (05) : 493 - 509
  • [7] An On-Line Detection Method and Device of Series Arc Fault Based on Lightweight CNN
    Wang, Zhiyong
    Tian, Shigang
    Gao, Hongxin
    Han, Congxin
    Guo, Fengyi
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2023, 19 (10) : 9991 - 10003
  • [8] Signal Singularity Detection based on the Hermitian Wavelet for Fault Diagnosis
    Chen, Jian
    Li, Wen
    Li, Qingdong
    Li, Peng
    Lian, Chengbin
    Ren, Zhang
    [J]. 2014 INTERNATIONAL CONFERENCE ON CLOUD COMPUTING AND BIG DATA (CCBD), 2014, : 116 - 118
  • [9] Study of the system of remote on-line detecting and fault recovery
    Zhang, YB
    Ma, FC
    Jia, XM
    Dou, YK
    [J]. ISTM/2003: 5TH INTERNATIONAL SYMPOSIUM ON TEST AND MEASUREMENT, VOLS 1-6, CONFERENCE PROCEEDINGS, 2003, : 3437 - 3440
  • [10] On-line Rotor Fault Detection In Squirrel Cage Induction Motors Based On Wavelet Analysis
    Wang Li
    Wang Xuan
    Wang Dongxu
    [J]. 2010 CHINESE CONTROL AND DECISION CONFERENCE, VOLS 1-5, 2010, : 3854 - 3856