• DocumentCode
    2491644
  • Title

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

  • Author

    Zhang, Zhigang ; Li, Aihua ; Liu, Yanhong ; Shen, Yi

  • Author_Institution
    Sch. of Inf. Technol. & Photo-Electron., Univ. of Yantai, Yantai
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    5258
  • Lastpage
    5262
  • 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 using wavelet multi-resolution analysis and the decision of fault line using neural networks are described. This strategy overcome the defects of conventional identify method, both information of transient state and steady state was used. The experimental result has shown the present method was available.
  • Keywords
    earthing; electrical faults; fault diagnosis; feature extraction; neural nets; power engineering computing; signal detection; wavelet transforms; feature vector extraction; grounding system; line energy distribution; neural networks; small current grounding fault line detection; steady state information; transient state information; wavelet multiresolution analysis; wavelet transform; Continuous wavelet transforms; Discrete wavelet transforms; Fault detection; Grounding; Multiresolution analysis; Neural networks; Power system transients; Wavelet analysis; Wavelet packets; Wavelet transforms; Multi-resolution decomposition; Neural network; Power system; Small current grounding fault; Wavelet Transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4593784
  • Filename
    4593784