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author:

Wan, Zhisong (Wan, Zhisong.) [1] | Lin, Qiongbin (Lin, Qiongbin.) [2] (Scholars:林琼斌) | Qiao, Feng (Qiao, Feng.) [3] | Zhang, Zhe (Zhang, Zhe.) [4] | Zong, Yi (Zong, Yi.) [5] | Su, Xianjin (Su, Xianjin.) [6]

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EI Scopus

Abstract:

This paper attempts to present a concise review of the research done around parametric fault diagnosis methods for power electronic circuits, including model-based, knowledge-based, signal-based and other emerging fusion methods. Comments on the advantages and constraints of various methods, are also given. Finally, combined with the bottlenecks faced by the current parametric fault diagnosis field of power electronic circuits, the new trends of future research in this field are discussed. © 2019 IEEE.

Keyword:

Electric fault currents Electric power transmission networks Failure analysis Fault detection Knowledge based systems Power electronics Smart power grids

Community:

  • [ 1 ] [Wan, Zhisong]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Lin, Qiongbin]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 3 ] [Qiao, Feng]College of Electrical Engineering and Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [Zhang, Zhe]Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark
  • [ 5 ] [Zong, Yi]Department of Electrical Engineering, Technical University of Denmark, Lyngby, Denmark
  • [ 6 ] [Su, Xianjin]Kehua Hengsheng Co.Ltd, Xiamen, China

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Year: 2019

Page: 448-451

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 1

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