Keyphrases
Deep Learning
100%
Acoustic Emission Signal
100%
Signal Base
100%
Gear Fault Diagnosis
100%
Sparse Autoencoder
71%
Gear pitting
57%
Recognition Rate
28%
Convolutional Neural Network
28%
Comparative Analysis
14%
Diagnostic Accuracy
14%
Recurrent Neural Network
14%
Mechanical Transmission
14%
Unsupervised Learning
14%
Ambient Noise
14%
Common Faults
14%
Reinforcement Theory
14%
Vibration Signal
14%
Gear Testing
14%
Fault Recognition
14%
Fault Characteristics
14%
Fully Convolutional Neural Network
14%
Frequency Domain Conversion
14%
1-dimensional Convolutional Neural Network (1D-CNN)
14%
Fault Test
14%
Engineering
Fault Diagnosis
100%
Acoustic Emission
100%
Deep Learning Method
100%
Autoencoder
71%
Convolutional Neural Network
42%
Recognition Rate
28%
One Dimensional
14%
Time Domain
14%
Comparative Analysis
14%
Adaptability
14%
Frequency Domain
14%
Test Experiment
14%
Mechanical Transmission
14%
Recurrent Neural Network
14%