Fault Diagnosis of Power Converter based on Multi-Channel 1D-BNCNN for Tokamak Magnetic Field Power Supply
Author:
Affiliation:
1. College of Computer Science and Technology, Chongqing University of Posts and Telecommunications,Chongqing,China
2. Institute of Plasma Physics, Chinese Academy of Sciences,Hefei,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9759537/9759400/09759661.pdf?arnumber=9759661
Reference27 articles.
1. A New Convolutional Neural Network-Based Data-Driven Fault Diagnosis Method
2. Real-Time Patient-Specific ECG Classification by 1-D Convolutional Neural Networks
3. A deep convolutional neural network with new training methods for bearing fault diagnosis under noisy environment and different working load
4. Real-Time Motor Fault Detection by 1-D Convolutional Neural Networks
5. 1D convolutional neural networks and applications: A survey
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