Serial Arc-Fault Restriction Survey With Standard-Listed Products in the Chinese Market-Reference-Cited by-同舟云学术

Serial Arc-Fault Restriction Survey With Standard-Listed Products in the Chinese Market

Published:2023-11 Issue:6 Volume:59 Page:7453-7461
ISSN:0093-9994
Container-title:IEEE Transactions on Industry Applications
language:
Short-container-title:IEEE Trans. on Ind. Applicat.

Author:

Jia Chuanzhen¹^ORCID,Li Zhe²,Zhang Yang³^ORCID,Cao Jinxin²^ORCID,Chen Hongcai⁴^ORCID,Zhao Xiangen²^ORCID,Du Yaping²^ORCID,Cheng Qingsha S.¹^ORCID,Ma Nan⁵,Qiu Fangchi⁵

Affiliation:

1. Department of Electrical and Electronic Engineering, Southern University of Science and Technology, Shenzhen, China

2. Department of Building Environment and Energy Engineering, The Hong Kong Polytechnic University, Kowloon, Hong Kong

3. Lecture in College of Advanced Interdisciplinary Studies, National University of Defense Technology, Changsha, China

4. School of Automation, Southeast University, Nanjing, China

5. Shenzhen Power Supply Bureau, China Southern Power Grid Company Limited, Shenzhen, China

Funder

Research Grants Council of the HKSAR

National Natural Science Foundation of China

Science and Technology Innovation Program of Hunan Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/28/10325326/10185061.pdf?arnumber=10185061

Reference19 articles.

1. Arc Fault Detection Method Based on CZT Low-Frequency Harmonic Current Analysis

2. Discrete wavelet transform optimal parameters estimation for arc fault detection in low-voltage residential power networks

3. An Arc Fault Detection Method Based on Current Amplitude Spectrum and Sparse Representation

4. A New Methodology for Identifying Arc Fault by Sparse Representation and Neural Network

5. A Low-Cost Power-Quality Meter With Series Arc-Fault Detection Capability for Smart Grid

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