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Distribution Network
100%
Multi-branch
100%
Fault Identification
100%
Residual Network
100%
Ground Fault
100%
Line Selection
100%
Fault Information
40%
Residual Unit
40%
Unit Structure
40%
Learning Efficiency
20%
Network Power
20%
Fault Type
20%
Quickest Detection
20%
Utilization Rate
20%
Enhanced Learning
20%
Frequency Division multiplexing
20%
State-of-the-art Techniques
20%
Low Utilization
20%
Feature Information
20%
Convolution Kernel
20%
Accurate Identification
20%
Time Division
20%
Feeder
20%
Power Supply Reliability
20%
Multi-classification
20%
Matrix-based
20%
Fault Characteristics
20%
Wavelet Transformation
20%
Dimension Learning
20%
Time-frequency Matrix
20%
Anti-interference
20%
Computer Science
Distribution Network
100%
fault identification
100%
Residual Neural Network
100%
Fault Information
50%
Feature Information
25%
Utilization Rate
25%
wavelet transformation
25%
Convolution Kernel
25%
Power Distribution Network
25%
Power Supply Network
25%
Engineering
Electric Power Distribution
100%
Selection Line
100%
State-of-the-Art Method
20%
Frequency Division
20%
Network Power Supply
20%