A Transmission Line Fault Diagnosis Model Based on Interpretable BRB With Power Set-Reference-Cited by-同舟云学术

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A Transmission Line Fault Diagnosis Model Based on Interpretable BRB With Power Set

Published:2024 Issue: Volume:12 Page:117450-117460
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Zhao Boying¹^ORCID,Li Kangle²,Xu Bing³^ORCID,Ge Gaixia⁴,He Wei¹^ORCID

Affiliation:

1. School of Computer Science and Information Engineering, Harbin Normal University, Harbin, China

2. School of Computer and mathematics, Harbin Finance University, Harbin, China

3. School of Economics and Management, Harbin Normal University, Harbin, China

4. Donghu Road School, Harbin, China

Funder

Postdoctoral Science Foundation of China

Teaching Reform Project of Higher Education in Heilongjiang

Natural Science Foundation of Heilongjiang Province

Social Science Foundation of Heilongjiang Province of China

Graduate Innovation Project of Harbin Normal University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10592001.pdf?arnumber=10592001

Reference30 articles.

1. A novel approach towards predicting faults in power systems using machine learning

2. A Cross-Layer Wireless Sensor Network Energy-Efficient Communication Protocol for Real-Time Monitoring of the Long-Distance Electric Transmission Lines

3. High Impedance Single-Phase Faults Diagnosis in Transmission Lines via Deep Reinforcement Learning of Transfer Functions

4. Design of an Underground Transmission Line Condition Fault Monitoring System for Power Grids Based on Data Analysis Algorithms

5. A Local Measurement-Based Phase Sequence Exchange Emergency Control Approach

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