A Koopman operator approach for machinery health monitoring and prediction with noisy and low-dimensional industrial time series.
Cheng ChengJia DingYong ZhangPublished in: Neurocomputing (2020)
Keyphrases
- 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