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Keyphrases
Bearing Fault Diagnosis
100%
Deep Neural Network
100%
Neural Network Method
100%
Empirical Mode Decomposition
100%
Time Domain Features
100%
Improved Grey Wolf Optimizer
100%
Intrinsic Mode Function
25%
Class Balance
25%
Multi-class
12%
Vibration Signal
12%
Time-domain Characterization
12%
Computational Efficiency
12%
Effective Solutions
12%
Multilayer Perceptron
12%
Skewness
12%
Quasi-Newton
12%
Precision-recall
12%
Kurtosis
12%
Root Mean Square
12%
Statistical Descriptors
12%
Time-frequency
12%
Compact Set
12%
Test Accuracy
12%
Lower Class
12%
Diagnostic Performance
12%
Reliable Solution
12%
Separability
12%
Balanced Performance
12%
Rolling Bearing Fault
12%
Hidden Neurons
12%
Deep Neural Network Optimization
12%
Activation Training
12%
Bearing Conditions
12%
Optimized Architecture
12%
Inner Race Fault
12%
AdaBoost.M2
12%
Diagnostic Framework
12%
Outer Race Fault
12%
Decomposition-based
12%
Test Metrics
12%
Perfect Classes
12%
Accuracy Class
12%
Neuron Activation Function
12%
Original Signal
12%
Key Design Parameters
12%
Computer Science
Fault Diagnosis
100%
Deep Neural Network
100%
Neural Network Approach
100%
empirical mode decomposition
100%
Domain Feature
100%
Intrinsic Property
40%
Interpretability
20%
Computational Efficiency
20%
Activation Function
20%
Multilayer Perceptron
20%
Network Optimization
20%