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author:

Du, Liwei (Du, Liwei.) [1] | Xu, Zhihong (Xu, Zhihong.) [2] (Scholars:许志红)

Indexed by:

EI PKU CSCD

Abstract:

Based on the accelerated formation mechanism and preparation process of the cable carbonization path in the low-voltage arc fault testthe preparation results are classified and analyzedbased on whicha method for judging the cable carbonization path is proposed. In this methodamplitude detectionmoving average filter algorithm and wavelet analysis method are used to distinguish four kinds of preparation results of cable carbonization pathsi.e. under-carbonizationopen-circuit-carbonizationshort-circuit-carbonization and successful-carbonization. A simulation circuit model with high-frequency components of arc current is built in Simulink to analyze and verify the proposed method. The proposed method is further used to test the carbonized cable sample prepared by the arc fault test system. The simulative and experimental results verify that the proposed method is effective and feasibleand can effectively improve the recognition rate of the cable carbonization path preparation results and the efficiency of the arc fault test. © 2022 Electric Power Automation Equipment Press. All rights reserved.

Keyword:

Cables Carbonization Electric network analysis

Community:

  • [ 1 ] [Du, Liwei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 2 ] [Du, Liwei]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou; 350116, China
  • [ 3 ] [Du, Liwei]Fujian Province University, Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou; 350116, China
  • [ 4 ] [Xu, Zhihong]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350116, China
  • [ 5 ] [Xu, Zhihong]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou; 350116, China
  • [ 6 ] [Xu, Zhihong]Fujian Province University, Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou; 350116, China

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Source :

Electric Power Automation Equipment

ISSN: 1006-6047

CN: 32-1318/TM

Year: 2022

Issue: 12

Volume: 42

Page: 217-224

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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