DeepFaultNet: Predicting Fault Severity of Communication Cable With Hybrid-ResCNN-Reference-Cited by-同舟云学术

DeepFaultNet: Predicting Fault Severity of Communication Cable With Hybrid-ResCNN

Published:2023-02 Issue:2 Volume:70 Page:826-830
ISSN:1549-7747
Container-title:IEEE Transactions on Circuits and Systems II: Express Briefs
language:
Short-container-title:IEEE Trans. Circuits Syst. II

Author:

Cao Hailin¹^ORCID,Long Feng¹,Wang Binyu¹,Peng Xue¹,Chen Xiang²,Tao Xiaoren³

Affiliation:

1. State Key Laboratory of Power Transmission Equipment and System Security and New Technology, School of Microelectronics and Communication Engineering, Chongqing University, Chongqing, China

2. Fews Ltd., Wellington, New Zealand

3. Beijing Time Capsule Company Ltd., Beijing, China

Funder

National Natural Science Foundation of China

Natural Science Foundation of Chongqing

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8920/10032206/09911663.pdf?arnumber=9911663

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