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author:

Du, Liwei (Du, Liwei.) [1] | Xu, Zhihong (Xu, Zhihong.) [2] (Scholars:许志红) | Chen, Duanyu (Chen, Duanyu.) [3]

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EI CSCD

Abstract:

Outdated testing methods hinder the success rate of carbonized cable preparation in low-voltage arc fault tests, leading to incomplete tests and high failure rates. To address this issue, we finely categorized the preparation results of carbonized cable specimens by analyzing the experimental phenomena during the carbonization process and assessing the impact of high-voltage energization time on the outcomes, presenting a process control strategy aimed at optimizing the preparation results of carbonized cable specimens. This method utilizes three periodic moving algorithms (root-mean-square, average, and shoulder percentage) to classify the cable specimens into four preparation categories: open-circuit carbonization, under-carbonization, short-circuit carbonization, and successful carbonization. The high-voltage energization time during carbonization or secondary carbonization was adjusted to optimize the preparation of the carbonized cables by considering different discrimination outcomes. Finally, the proposed method was tested on a purpose-built carbonized cable experimental platform, which confirmed its effectiveness in differentiating the preparation outcomes of the carbonized cable specimens and improving the success rate of the carbonized cable preparation. The proposed method has significant potential for application in low-voltage arc fault test systems. © 2023 China Machinery Industry Information Institute.

Keyword:

Cables Carbonization Failure analysis Process control

Community:

  • [ 1 ] [Du, Liwei]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 2 ] [Du, Liwei]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fuzhou; 350108, China
  • [ 3 ] [Du, Liwei]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou University, Fuzhou; 350108, China
  • [ 4 ] [Du, Liwei]Department of Electrical Engineering, Yuan Ze University, 32003, Taiwan
  • [ 5 ] [Xu, Zhihong]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou; 350108, China
  • [ 6 ] [Xu, Zhihong]Fujian Key Laboratory of New Energy Generation and Power Conversion, Fuzhou University, Fuzhou; 350108, China
  • [ 7 ] [Xu, Zhihong]Fujian Province University Engineering Research Center of Smart Distribution Grid Equipment, Fuzhou University, Fuzhou; 350108, China
  • [ 8 ] [Chen, Duanyu]Department of Electrical Engineering, Yuan Ze University, 32003, Taiwan

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Source :

Chinese Journal of Electrical Engineering

ISSN: 2096-1529

Year: 2023

Issue: 4

Volume: 9

Page: 122-131

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 2

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

Online/Total:253/10051983
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