An Online Data-Efficient HV Cable Fault Localization Approach Via an AI-Enabled Recognition of Modal Wavefront in Sheath Current
Author:
Affiliation:
1. Department of Electrical and Computer Engineering, University of Saskatchewan, Saskatoon, SK, Canada
2. Department of Electrical Engineering, Hong Kong Polytechnic University (PolyU), Hongkong, China
Funder
International Minerals Innovation Institute
Mitacs Accelerate Program
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Energy Engineering and Power Technology
Link
http://xplorestaging.ieee.org/ielx7/61/10130692/10006887.pdf?arnumber=10006887
Reference29 articles.
1. Detection and Localization of Defects in Cable Sheath of Cross-Bonding Configuration by Sheath Currents
2. Online Monitoring and Diagnosis of HV Cable Faults by Sheath System Currents
3. Identification of defects in HV cable sheath based on equivalent impedance spectrum characteristic coding
4. Permanent Fault Location for Three-Core Cable Using Multiconductor Coupling Model
5. A Revised Model for Calculating HV Cable Sheath Current Under Short-Circuit Fault Condition and Its Application for Fault Location—Part 1: The Revised Model
Cited by 1 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Detection of Irregular Sheath Current Distribution for Diagnosis of Faults in Grounding Systems of Cross-Bonded Cables;IEEE Access;2023
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