Feature extraction of multi-sensors for early bearing fault diagnosis using deep learning based on minimum unscented kalman filter.
Haihong TangYanmin TangYuxiang SuWuwei FengBing WangPeng ChenDunwen ZuoPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- fault diagnosis
- deep learning
- monitoring and fault diagnosis
- unscented kalman filter
- feature extraction
- inertial sensors
- expert systems
- neural network
- machine learning
- unsupervised learning
- dynamic model
- position and orientation
- fuzzy logic
- kalman filter
- state estimation
- visual tracking
- face recognition
- extended kalman filter
- feature vectors
- rbf neural network
- dimensionality reduction
- image processing
- multi sensor
- artificial intelligence
- feature selection
- sensor fusion
- mental models
- dynamic systems
- data fusion
- particle filter
- learning algorithm