Application of independent component analysis on state inspection for transmission lines

被引：0
|
作者：
Ren, Lijia [1 ]
Jiang, Xiuchen [1 ]
Sheng, Gehao [1 ]
机构：
[1] Shanghai Jiao Tong Univ, Dept Elect Engn, Hanghai 200240, Peoples R China
来源：
PROCEEDINGS OF 2008 INTERNATIONAL CONFERENCE ON CONDITION MONITORING AND DIAGNOSIS | 2007年
关键词：
state inspection; transmission lines; vibration signal; ICA; negentropy; adaptive threshold; Empirical Mode Decomposition;
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：
According to the serious theft of transmission tower materials, a new function in the state maintenance for transmission lines is presented to monitor towers and examine the vibration signal produced from the action of stealing the tower materials, in order to ensure the reliability and safety of the power grid operation. This paper presents the FastICA using negentropy to effectively extract and separate the vibration signals caused by human activity. A new method combined Empirical Mode Decomposition (EMD) method with adaptive threshold pulse distraction method is used to extract the integrity vibration pulses, and suppress interference signals. The practical tests demonstrate the method proposed in the paper is effective in separating and extract the vibration signals successfully.
引用
收藏
页码：799 / 802
页数：4
相关论文
共 50 条
  • [21] Unsupervised calibration for tire canvas inspection by means of independent component analysis
    Puga, AT
    Gavilan, JC
    [J]. ETFA 2003: IEEE CONFERENCE ON EMERGING TECHNOLOGIES AND FACTORY AUTOMATION, VOL 2, PROCEEDINGS, 2003, : 199 - 204
  • [22] Expliner - Robot for inspection of transmission lines
    Debenest, Paulo
    Guarnieri, Michele
    Takita, Kensuke
    Fukushima, Edwardo F.
    Hirose, Shigeo
    Tamura, Kiyoshi
    Kimura, Akihiro
    Kubokawa, Hiroshi
    Iwama, Narumi
    Shiga, Fuminori
    [J]. 2008 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-9, 2008, : 3978 - +
  • [23] The UAV intelligent inspection of transmission lines
    Li, Linxin
    [J]. PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON ADVANCES IN MECHANICAL ENGINEERING AND INDUSTRIAL INFORMATICS, 2015, 15 : 1542 - 1545
  • [24] Application of UAV Intelligent Management and Control Platform on Overhead Transmission Lines Inspection
    Chang, An
    Liang, Yanhong
    Jiang, Mingxi
    Li, Xuegang
    Chen, Zhenhui
    Liu, Ruiying
    [J]. FORTHCOMING NETWORKS AND SUSTAINABILITY IN THE IOT ERA (FONES-IOT 2021), VOL 2, 2022, 130 : 251 - 260
  • [25] Application of independent component analysis in empirical mode decomposition
    Chen, Jian-Guo
    Zhang, Zhi-Xin
    Guo, Zheng-Gang
    Weng, Feng-Fao
    Li, Hong-Kun
    [J]. Zhendong yu Chongji/Journal of Vibration and Shock, 2009, 28 (01): : 109 - 111
  • [26] Independent component analysis and its application to pattern recognition
    Chen, YW
    [J]. KNOWLEDGE-BASED INTELLIGENT INFORMATION ENGINEERING SYSTEMS & ALLIED TECHNOLOGIES, PTS 1 AND 2, 2001, 69 : 1243 - 1247
  • [27] An application of independent component analysis in the arbitrage pricing theory
    Yip, F
    Xu, L
    [J]. IJCNN 2000: PROCEEDINGS OF THE IEEE-INNS-ENNS INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS, VOL V, 2000, : 279 - 284
  • [28] Application of independent component analysis on noisy image separation
    Zhao, H
    Zhou, WD
    Peng, YH
    [J]. 2004 7TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, VOLS 1-3, 2004, : 1018 - 1021
  • [29] Data reconstruction and application based on independent component analysis
    Zhong, Lei
    Liu, Fei
    [J]. Xitong Fangzhen Xuebao / Journal of System Simulation, 2007, 19 (17): : 4090 - 4092
  • [30] Application of Independent Component Analysis Method in Underwater Lidar
    Wang, Zhen
    Fan, Chaoyang
    Yang, Suhui
    Liu, Xinyu
    Xu, Zhen
    [J]. Guangxue Xuebao/Acta Optica Sinica, 2024, 44 (18):
12345