Remaining useful life prediction based on noisy condition monitoring signals using constrained Kalman filter.
Junbo SonShiyu ZhouChaitanya SankavaramXinyu DuYilu ZhangPublished in: Reliab. Eng. Syst. Saf. (2016)
Keyphrases
- kalman filter
- condition monitoring
- acoustic emission
- kalman filtering
- vibration signal
- fault detection
- fault diagnosis
- state estimation
- prediction accuracy
- object tracking
- mean shift
- power transformers
- particle filter
- nuclear power plant
- particle filtering
- target tracking
- extended kalman filter
- state space model
- tool wear
- expert systems
- artificial intelligence
- bayesian filtering
- computer vision
- three dimensional
- machine learning