Bearing Fault Detection on IM Using MCSA and Sparse Representation.
Carlos Morales-PerezJose de Jesus Rangel-MagdalenoHayde Peregrina-BarretoJuan Manuel Ramírez-CortésPublished in: I2MTC (2020)
Keyphrases
- sparse representation
- fault detection
- dictionary learning
- sparse coding
- fault diagnosis
- fault identification
- industrial processes
- image classification
- tennessee eastman
- compressive sensing
- face recognition
- failure detection
- condition monitoring
- fuel cell
- joint optimization
- random projections
- robust fault detection
- sparse approximations
- fault detection and diagnosis
- test images
- high dimensional data
- regularized least squares
- image patches
- compressed sensing
- neural network
- data sets
- power plant
- computer vision
- norm minimization
- dimensionality reduction
- image segmentation
- sparsity constraints
- sparse reconstruction
- feature selection
- search space
- control system
- image representation