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A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series.
Cheng Cheng
Jia Ding
Yong Zhang
Published in:
Neurocomputing (2020)
Keyphrases
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health monitoring
low dimensional
monitoring system
sensor data
high dimensional
daily life
smart environments
dimensionality reduction
body sensor networks
box jenkins
continuous monitoring
principal component analysis
power supply
manifold learning
prediction model
data points
smart home
sensor networks
computer vision
process control
artificial intelligence
genetic algorithm
wearable sensors
data sets
real time