Simultaneously Low Rank and Group Sparse Decomposition for Rolling Bearing Fault Diagnosis.
Kai ZhengYin BaiJingfeng XiongFeng TanDewei YangYi ZhangPublished in: Sensors (2020)
Keyphrases
- monitoring and fault diagnosis
- low rank
- fault diagnosis
- tensor decomposition
- low rank matrix
- rank minimization
- low rank matrices
- low rank and sparse
- convex optimization
- matrix factorization
- robust principal component analysis
- low rank representation
- missing data
- linear combination
- regularized regression
- matrix completion
- expert systems
- singular value decomposition
- neural network
- low rank approximation
- fault detection
- semi supervised
- high order
- signal recovery
- high dimensional data
- fuzzy logic
- high dimensional
- data matrix
- operating conditions
- chemical process
- trace norm
- singular values
- condition monitoring
- image processing
- pattern recognition
- data sets