A clustering low-rank approach for aero-enging bearing fault detection.
Han ZhangXuefeng ChenXiaoli ZhangPublished in: I2MTC (2019)
Keyphrases
- fault detection
- low rank
- high dimensional data
- linear combination
- fault diagnosis
- matrix factorization
- missing data
- convex optimization
- fault identification
- industrial processes
- low rank matrix
- matrix completion
- singular value decomposition
- semi supervised
- high order
- rank minimization
- clustering algorithm
- k means
- tennessee eastman
- kernel matrix
- clustering method
- fuel cell
- matrix decomposition
- low rank matrices
- robust principal component analysis
- singular values
- data points
- power plant
- trace norm
- nearest neighbor
- data clustering
- minimization problems
- document clustering
- high dimensional
- data sets
- robust fault detection
- underwater vehicles
- nonnegative matrix factorization
- spectral clustering
- face recognition
- machine learning