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author:

Bao, Guanghai (Bao, Guanghai.) [1] | Jiang, Run (Jiang, Run.) [2] | Liu, Dejun (Liu, Dejun.) [3]

Indexed by:

EI

Abstract:

At present, the detection methods on series arc faults are mainly based on the current of the main circuit, which probably results in misjudgment because of the singularity of the normal working current in a nonlinear load. What's worse, is the arc fault characteristic in the small power branch is easily ignored in the current of the main circuit, which leads to missed judgment. To solve these problems, a detection method based on coupling signal acquisition and higher-order cumulant identification is presented, through the electromagnetic coupling mechanism of high frequency current. By analyzing the coupling signal of the high-frequency current and using the higher-order cumulant algorithm during arcing process, the kurtosis of the coupling signal is calculated. In this paper, the unified threshold value on the kurtosis in various conditions is obtained. The results show that the novel method can be effectively used to detect and identify the series arc faults. © 2013 IEEE.

Keyword:

Couplings Fault detection Higher order statistics Signal processing

Community:

  • [ 1 ] [Bao, Guanghai]College of Electrical Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Jiang, Run]College of Electrical Engineering, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Liu, Dejun]Quanzhou Power Supply Bureau of State Grid, Quanzhou; 362000, China

Reprint 's Address:

  • [bao, guanghai]college of electrical engineering, fuzhou university, fuzhou; 350108, china

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Source :

IEEE Access

Year: 2019

Volume: 7

Page: 4586-4597

3 . 7 4 5

JCR@2019

3 . 4 0 0

JCR@2023

ESI HC Threshold:150

JCR Journal Grade:1

CAS Journal Grade:2

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 20

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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