Nonconvex Sparse Regularization and Convex Optimization for Bearing Fault Diagnosis.
Shibin WangIvan W. SelesnickGaigai CaiYining FengXin SuiXuefeng ChenPublished in: IEEE Trans. Ind. Electron. (2018)
Keyphrases
- convex optimization
- fault diagnosis
- norm regularization
- monitoring and fault diagnosis
- basis pursuit
- group lasso
- expert systems
- low rank
- norm minimization
- convex formulation
- neural network
- low rank matrix
- augmented lagrangian
- interior point methods
- fault detection
- total variation
- fuzzy logic
- rank minimization
- augmented lagrangian method
- low rank and sparse
- convex optimization problems
- chemical process
- primal dual
- operating conditions
- trace norm
- minimization problems
- multi sensor information fusion
- multiple faults
- convex relaxation
- condition monitoring
- alternating direction method of multipliers
- regularization methods
- total variation regularization
- data fusion
- image restoration
- multiscale
- genetic algorithm