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Keyphrases
Digital Twin Technology
100%
Main Bearing
100%
Bearing Life Prediction
100%
Direct Drive Wind Turbine
100%
Life Prediction
60%
Transfer Learning
40%
Convolutional Long Short-term Memory (ConvLSTM)
40%
Wind Turbine
20%
Mechanical Equipment
20%
Time Dependence
20%
Fault Diagnostics
20%
Model-driven Development
20%
Training Model
20%
State Transition
20%
Extended Model
20%
Learning Theory
20%
Convolution Operation
20%
Balanced Dataset
20%
Low Quality Data
20%
Digital Model
20%
Prediction Approach
20%
Digital Space
20%
Wind Field
20%
Remaining Life Prediction
20%
Deep Learning Model
20%
Data Density
20%
Real-time Operation
20%
Large Equipment
20%
Time-frequency Characteristics
20%
Data Shortage
20%
Engineering
Compressed Air Motors
100%
Life Prediction
100%
Digital Twin
100%
Main Bearing
100%
Transfer Learning
40%
Long Short-Term Memory Network
40%
Mechanical Equipment
20%
Deep Learning Method
20%
Frequency Characteristic
20%
Remaining Useful Life
20%
Long Short-Term Memory
20%
State Transition
20%
Chemical Engineering
Digital Twin
100%
Transfer of Learning
66%
Transfer Learning
66%
Long Short-Term Memory Network
66%
Deep Learning Method
33%
Long Short-Term Memory
33%
Material Science
Digital Twin
100%
Density
33%