Keyphrases
Bearing Defects
33%
Bearing Fault
50%
Characteristic Fault Frequencies
16%
Classification Results
16%
Comprehensive Dataset
16%
Condition Monitoring
33%
Contact Method
22%
Data-driven Fault Diagnosis
16%
Data-driven Monitoring
33%
Displacement Data
16%
Electric
33%
Electrical Machines
27%
Engineering Method
16%
Enhanced Data
33%
Fast Fourier Transform
33%
Fault Classification
16%
Fault Classifier
33%
Fault Rotation
16%
Fault Size
16%
Fault Type
16%
Faulty Bearing
38%
Feature Engineering
16%
Frequency Resolution
33%
Geometry-aware
50%
Hanning
16%
Heavy-duty Truck
33%
Induction Machine
33%
Inner Ring
33%
Machine Learning Algorithms
33%
Machine Learning Based
16%
Machine Learning Performance
33%
Multi-rate
33%
Multi-speed Transmission
33%
Multibody Simulation
44%
Outer Ring
44%
Peak Amplitude
16%
Predictive Maintenance
22%
Realistic Dataset
22%
Ring Fault
27%
Rolling Bearing
55%
Rolling Bearing Dynamics
33%
Rolling Bearing Fault
16%
Rotational Speed
16%
Shaft Displacement
27%
Simulation-based
33%
Spectral Analysis
16%
Varying Rotational Speed
16%
Vibration Signal
33%
Vibration Signal Analysis
33%
Windowing Techniques
33%
INIS
algorithms
13%
assessments
33%
classification
20%
data
90%
datasets
13%
defects
33%
dynamics
41%
fourier transformation
13%
geometry
40%
induction
33%
machine learning
40%
maintenance
13%
monitoring
33%
motors
13%
performance
30%
resolution
20%
rings
33%
rolling
66%
signals
33%
simulation
100%
size
13%
speed
46%
transmission
33%
trucks
33%
vehicles
33%
Engineering
Big Data
11%
Capacitive
11%
Classification Performance
11%
Condition Monitoring
22%
Displacement Data
16%
Driving Cycle
25%
Duty Vehicle
16%
Electrical Machine
27%
Engineering Method
16%
Fast Fourier Transform
22%
Fault Diagnosis
16%
Frequency Resolution
33%
Induction Machine
33%
Induction Motor
11%
Learning System
50%
Machine Learning Algorithm
22%
Maintenance Strategy
11%
Peak Amplitude
16%
Powertrain
33%
Predictive Maintenance
22%
Random Forest
11%
Retro-Fitting
16%
Rolling Bearings
66%
Rotation Speed
16%
Rotational Speed
16%
Sampling Frequency
11%
Shaft Displacement
27%
Simulated Data
16%
Simulation Mode
11%
Simulation System
11%
Statistical Feature
11%
Support Vector Machine
11%
Systematic Approach
11%
Vehicle Dynamics
16%
