• DocumentCode
    519758
  • Title

    Study on electric arc´s on-line detection for low voltage switchbox based on information fusion

  • Author

    Lv Hui ; Yu Qiongfang ; Dong Aihua ; Zheng Dezhong

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Henan Polytech. Univ., Jiaozuo, China
  • Volume
    1
  • fYear
    2010
  • fDate
    21-24 May 2010
  • Abstract
    The switch contacts and connection terminals of low voltage switchbox can arouse arc fault easily for the bad contact. The arc fault not only can affect the normal power supply, but also can arouse electrical fire probably. In order to check arc fault reliably, the arc voltage signal, current signal and arc light intensity signal are separately detected. These signals are soft decided by Bayesian based on information fusion, then the best judgment for arc fault is gained which is a good way to solve the contradiction between alarm sensitivity and false alarm rate. The arc fault on-line detection based on information fusion not only can check and forecast the electrical fault of low voltage switchbox, but also can early warn the hidden danger of electrical fire.
  • Keywords
    arcs (electric); sensor fusion; signal detection; switchgear; alarm sensitivity; arc fault; arc light intensity signal; arc voltage signal; connection terminals; electric arcs; electrical fire; false alarm rate; information fusion; low voltage switchbox; on-line detection; switch contacts and; Circuit faults; Contact resistance; Electrical fault detection; Fires; Low voltage; Power supplies; Resistance heating; Switches; Switching circuits; Temperature distribution; Bayesian; electric arc; information fusion; low voltage switchbox; on-line detection;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Future Computer and Communication (ICFCC), 2010 2nd International Conference on
  • Conference_Location
    Wuha
  • Print_ISBN
    978-1-4244-5821-9
  • Type

    conf

  • DOI
    10.1109/ICFCC.2010.5497805
  • Filename
    5497805