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Fault prediction algorithm of slow variable signal based on multidimensional data driving
Yifan Li,
Ping Song
, Hongbo Liu, Chuangbo Hao
机电学院
Beijing Institute of Technology
Beijing Jinghang Computation and Communication Research Institute
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Computer Science
Historical Data
50%
Information Channel
50%
Long Short-Term Memory Network
50%
Multidimensional Data
100%
Network Parameter
100%
Optimal Network
50%
Prediction Accuracy
50%
Training Sample
50%
Engineering
Failure Mode
50%
Historical Data
50%
Long Short-Term Memory
50%
Multichannel
100%
Network Parameter
100%
Offline Training
50%
Slow Variable
100%
Chemical Engineering
Long Short-Term Memory
100%
Earth and Planetary Sciences
Failure Mode
100%