• DocumentCode
    2669058
  • Title

    Detection of small current grounding fault line based on wavelet transform and neural networks

  • Author

    Zhigang, Zhang ; Aihua, Li ; Yanhong, Liu ; Guoying, Hu

  • Author_Institution
    Sch. of Inf. Technol. & Photo-Electron., Yantai Univ., Yantai
  • fYear
    2008
  • fDate
    16-18 July 2008
  • Firstpage
    790
  • Lastpage
    794
  • Abstract
    The detection of small current grounding fault line based on Wavelet transform technique and the neural network technique was presented. According of the distribution of energy of each line in the system of grounding, the extraction of feature vectors by use of wavelet multi-resolution analysis and the decision of fault line based on neural networks are described. This strategy overcome the defects of conventional identify method, because of both information of transient state and steady state was used. The experimental result has shown that the implementation based on wavelet and neural network to detect the small current grounding fault line was available.
  • Keywords
    earthing; fault location; neural nets; power engineering computing; wavelet transforms; feature vector extraction; neural networks; small current grounding fault line detection; wavelet multiresolution analysis; wavelet transform; Data mining; Electronic mail; Fault detection; Feature extraction; Grounding; Information technology; Neural networks; Steady-state; Wavelet analysis; Wavelet transforms; Multi-resolution decomposition; Neural network; Small current grounding fault; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference, 2008. CCC 2008. 27th Chinese
  • Conference_Location
    Kunming
  • Print_ISBN
    978-7-900719-70-6
  • Electronic_ISBN
    978-7-900719-70-6
  • Type

    conf

  • DOI
    10.1109/CHICC.2008.4605680
  • Filename
    4605680