Keyphrases
Deep Learning Methods
100%
Fault Type
100%
Rotating Machinery
100%
Robust Deep Learning
100%
Mixed Fault
100%
1D Convolutional Neural Network
66%
State-of-the-art Techniques
33%
Rotor System
33%
Single Component
33%
Kernel Density Estimation
33%
External Perturbation
33%
Multiple Components
33%
Rotor
33%
Bearing System
33%
Classification Model
33%
Model Robustness
33%
Fault Diagnosis
33%
Health Condition
33%
New Fault
33%
Bearing Fault
33%
Spectra of External Perturbations
33%
Machine Health
33%
Rotor Fault
33%
One-Vs-All Classifier
33%
Rolling Element
33%
Data-driven Diagnosis
33%
Engineering
Rotors
100%
Rotating Machinery
100%
Deep Learning Method
100%
Convolutional Neural Network
66%
Broad Range
33%
Experimental Result
33%
Collected Data
33%
Single Component
33%
State-of-the-Art Method
33%
Fault Diagnosis
33%
Bearing System
33%
Rolling Element
33%
Computer Science
Convolutional Neural Network
100%
Deep Learning Method
100%
Collected Data
50%
Experimental Result
50%
Classification Models
50%
Multiple Component
50%
Fault Diagnosis
50%
Health Condition
50%
Chemical Engineering
Neural Network
100%
Deep Learning Method
100%
Earth and Planetary Sciences