Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features-Reference-Cited by-同舟云学术

Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features

Author:

Wu Hao¹^ORCID,Tang Dan¹^ORCID,Cai Yuan¹^ORCID,Zheng Chaowen¹^ORCID

Affiliation:

1. School of Automation and Information Engineering, Sichuan University of Science and Engineering, Zigong, Sichuan, China

Funder

Project of Sichuan Provincial Science and Technology Department

Artificial Intelligence Key Laboratory of Sichuan Province Foundation

Enterprise Informatization and Internet of Things Measurement and Control Technology Key Laboratory Project of Sichuan Provincial University

Talent Introduction Project of Sichuan University of Science and Engineering

Postgraduate Innovation Fund Project of Sichuan University of Science and Engineering

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

Reference26 articles.

1. Application and research progress of high-voltage DC cross-linked polyethylene cables;Du;High Voltage Eng.,2017

4. Identification method for incipient intermittent arc ground fault of high-voltage cables;Zhou;Electr. Power,2020

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