Engineering
Damage Detection
100%
Convolutional Neural Network
100%
Joints (Structural Components)
100%
Bolts
27%
Collected Data
18%
Looseness
18%
Safe Operation
9%
Condition Monitoring
9%
Monitoring Data
9%
Computational Efficiency
9%
Misalignment
9%
Fourier Transform Method
9%
Frequency Spectrum
9%
Neural Network Training
9%
Neural Network Architecture
9%
Condition Evaluation
9%
Test Line
9%
Short-Time Fourier Transform
9%
Models
9%
Simultaneous Detection
9%
Frequency Characterization
9%
Testing
9%
Prediction
9%
Networks
9%
Failure (Mechanical)
9%
Accuracy
9%
Transforms
9%
Monitoring System
9%
Normal Condition
9%
Physics
Detection
100%
Frequencies
100%
Joint
100%
Rail
100%
Maglev
100%
Electromagnets
7%
Model
7%
Evaluation
7%
Variations
7%
Failure
7%
Calculation
7%
Gaps
7%
Misalignment
7%
Running
7%
Spectra
7%
Computer Science
Convolutional Neural Network
100%
Detection
100%
Collected Data
22%
Condition Monitoring
11%
Neural Network Training
11%
Convolutional Neural Network
11%
Computational Efficiency
11%
Monitoring Data
11%
Prediction Accuracy
11%
Normal Condition
11%
Fourier Transform
11%
Time Fourier Transform
11%
Neural Network Architecture
11%
Vital Component
11%
Frequency Spectrum
11%
Evaluation
11%
Testing
11%
Control
11%
Monitoring System
11%
Frequency Characterization
11%
Models
11%
Chemistry
Time
100%
Bolt
50%
Suspension
33%
Fourier Transform Method
16%
Electromagnet
16%
Procedure
16%
Spectra
16%
Acceleration
16%
Fluctuation
16%
Dislocation
16%