An EHV Transformer Fault Diagnosis Method based on Acoustic Perception and Pseudo-Labels Intensive Training-CNN-Reference-Cited by-同舟云学术

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An EHV Transformer Fault Diagnosis Method based on Acoustic Perception and Pseudo-Labels Intensive Training-CNN

Published:2023-04-07 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Computer Engineering and Application (ICCEA)
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Author:

Lv Xuebin¹,Xu Mingkai²,Li Cong²,Liu Chunming²,Liu Minghui³,Zhang Faye³,Jiang Mingshun³

Affiliation:

1. Shandong Electric Power Company, State Grid,Jinan,Shandong,PR China,250001

2. Jinan Power Supply Company of Shandong Electric Power Company, State Grid,Jinan,Shandong,PR China,250001

3. School of Control Science and Engineering, Shandong University,Jinan,Shandong,PR China,250061

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10134761/10135179/10135275.pdf?arnumber=10135275

Reference12 articles.

1. An end-to-end framework combining time–frequency expert knowledge and modified transformer networks for vibration signal classification

2. Batch normalization: Accelerating deep network training by reducing internal covariate shift;ioffe;32nd International Conference on Machine Learning ICML,0

3. Feature Extraction Method for Transformer Vibration and Audio Signal Based on Ensemble Empirical Mode Decomposition;wang;Water Resources and Power,2019

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