A Fault Diagnosis Method of Power Transformer Based on Cost Sensitive One-Dimensional Convolution Neural Network-Reference-Cited by-同舟云学术

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A Fault Diagnosis Method of Power Transformer Based on Cost Sensitive One-Dimensional Convolution Neural Network

Published:2020-06 Issue: Volume: Page:
ISSN:
Container-title:2020 5th Asia Conference on Power and Electrical Engineering (ACPEE)
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Author:

Zhang Lijing,Sheng Gehao,Hou Huijuan,Jiang Xiuchen

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9130650/9136167/09136223.pdf?arnumber=9136223

Cited by 18 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. Advancement in transformer fault diagnosis technology;Frontiers in Energy Research;2024-07-22

2. Real-time AI-based Fault Detection and Localization in Power Electronics Dominated Grids;2024 4th International Conference on Smart Grid and Renewable Energy (SGRE);2024-01-08

3. Three novel cost-sensitive machine learning models for urban growth modelling;Geocarto International;2024-01

4. Deep Machine Learning-Based Asset Management Approach for Oil- Immersed Power Transformers Using Dissolved Gas Analysis;IEEE Access;2024

5. Fault Diagnosis of Rolling Bearings Under Variable Working Conditions Based on EOS-CNN;2023 Global Reliability and Prognostics and Health Management Conference (PHM-Hangzhou);2023-10-12

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