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author:

Hanlong, H. (Hanlong, H..) [1] | Xin, Z. (Xin, Z..) [2] | Jielong, Z. (Jielong, Z..) [3] | Longfei, T. (Longfei, T..) [4]

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Abstract:

Arc fault is one of the important factors causing electric fire, and the prevention of arc fault is an effective means to reduce the occurrence of electric fire. High frequency arc fault signal is generated when arc fault occurs. Collecting and analyzing the high frequency arc fault signal can effectively detect whether arc fault occurs. In this paper, according to the characteristics of the phase difference of the winding output at different positions of the winding coil under the high-frequency current signal, the special-shaped winding coil current transformer(S-SWCCT) is made, and the output characteristics of Special-shaped winding coil with different turns under different frequency are analyzed experimentally. Finally, according to GB14287 standard, arc fault experiment is carried out and current signal is collected and analyzed. The experimental results show that the sensor can effectively collect the high frequency signal of arc fault and filter the low frequency signal in the line. © 2024 IEEE.

Keyword:

arc fault current transformer fault detection high frequency signal

Community:

  • [ 1 ] [Hanlong H.]College of Electrical Engineering and Automotion, Fuzhou University, Fuzhou, China
  • [ 2 ] [Xin Z.]College of Electrical Engineering and Automotion, Fuzhou University, Fuzhou, China
  • [ 3 ] [Xin Z.]Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou University, Fuzhou, China
  • [ 4 ] [Jielong Z.]College of Electrical Engineering and Automotion, Fuzhou University, Fuzhou, China
  • [ 5 ] [Jielong Z.]Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou University, Fuzhou, China
  • [ 6 ] [Longfei T.]College of Electrical Engineering and Automotion, Fuzhou University, Fuzhou, China
  • [ 7 ] [Longfei T.]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fuzhou, China

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Year: 2024

Language: English

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ESI Highly Cited Papers on the List: 0 Unfold All

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30 Days PV: 1

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