• DocumentCode
    2502119
  • Title

    Study on soft-sensing technique based HV standard impulse parameter evaluation analysis system

  • Author

    Jingdi, Ji ; Jiang, Guo ; Qijuan, Chen

  • Author_Institution
    Coll. of Power & Mechanic Eng., Wuhan Univ., Wuhan
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    9152
  • Lastpage
    9156
  • Abstract
    Integrated with actual project conditions, focusing on the problems of inaccuracy of calculation to HV standard impulse parameter, complexity of operation in HV standard impulse experimentation and so on at present, the HV standard impulse parameter evaluation analysis system framework based on soft-sensing technique is put forward and validated with the standard waveforms provided by International Electro Technical Commission Test Data Generator. Meanwhile, corresponding soft-sensing modules for parameter evaluation were designed. Results show that the system has a good adaptability and a high accuracy in calculating impulse parameters. The system developed under the powerful platform of LabVIEW is operated conveniently and has a friendly interface as well as perfect function.
  • Keywords
    neural nets; power engineering computing; power systems; wavelet transforms; HV standard impulse parameter; LabVIEW powerful platform; high voltage standard impulse parameter evaluation analysis system; operation complexity; soft-sensing technique; Automatic testing; Automation; Data engineering; Educational institutions; IEC standards; Impulse testing; Intelligent control; Power engineering and energy; Power generation; System testing; impulse voltage; parameters extraction; soft-sensing technique; 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.2008.4594377
  • Filename
    4594377