Fault Diagnosis Algorithm for Dry-Type Transformer Based on Deep Learning of Small-Sample Acoustic Array Signals
Author:
Affiliation:
1. School of Electrical Engineering, Chongqing University, Chongqing, China
2. Southern Power Grid Electric Vehicle Service Co., Ltd., Shenzhen, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Link
http://xplorestaging.ieee.org/ielx8/7782634/10669757/10659098.pdf?arnumber=10659098
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1. An Integrated Sensor With AE and UHF Methods for Partial Discharges Detection in Transformers Based on Oil Valve
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3. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis
4. The Optimal Wavelet Basis Function Selection in Feature Extraction of Motor Imagery Electroencephalogram Based on Wavelet Packet Transformation
5. An Improved Method for Pipeline Leakage Localization With a Single Sensor Based on Modal Acoustic Emission and Empirical Mode Decomposition With Hilbert Transform
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