Identification of Partial Discharge Through Cable-Specific Adaption and Neural Network Ensemble-Reference-Cited by-同舟云学术

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Identification of Partial Discharge Through Cable-Specific Adaption and Neural Network Ensemble

Published:2021 Issue: Volume: Page:1-1
ISSN:0885-8977
Container-title:IEEE Transactions on Power Delivery
language:
Short-container-title:IEEE Trans. Power Delivery

Author:

Yeo Joel,Jin Huifei,Rodrigo Mor Armando,Yuen Chau,Tushar Wayes,Saha Tapan K.,Ng Chee Seng

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology

Link

http://xplorestaging.ieee.org/ielx7/61/4359248/09468937.pdf?arnumber=9468937

Cited by 8 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. Pre-Breakdown Condition of Insulation Recognition by Partial Discharges Characteristics;2024 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM);2024-05-20

2. A New Method for Detecting Partial Discharge in T-Type Terminals of Power Cable;IEEE Transactions on Industrial Electronics;2024-02

3. A Comprehensive Review of Signal Processing and Machine Learning Technologies for UHF PD Detection and Diagnosis (II): Pattern Recognition Approaches;IEEE Access;2024

4. Diagnosis Method for Partial Discharge Faults in Power Cables Based on CEEMDAN-IZOA-DBN;2023 7th International Conference on Power and Energy Engineering (ICPEE);2023-12-22

5. Variation in the Spectral Content of UHF PD Signals Due to the Presence of Obstacles in the Measurement Environment;IEEE Sensors Journal;2023-10-01

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