Collaborative Double Difference Sparse Regularization and Convex Optimization for Bearing Fault Detection.
Feng LiuXinxin LiKexue HuangJiangshu XiangWenxian ChenYanan XiaoHanling MaoZhenfeng HuangPublished in: IEEE Access (2021)
Keyphrases
- convex optimization
- fault detection
- norm regularization
- basis pursuit
- group lasso
- low rank
- rank minimization
- norm minimization
- fault diagnosis
- fault identification
- industrial processes
- convex formulation
- low rank matrix
- total variation
- tennessee eastman
- augmented lagrangian
- primal dual
- interior point methods
- trace norm
- augmented lagrangian method
- regularization methods
- robust fault detection
- fuel cell
- convex optimization problems
- sparse representation
- artificial intelligence
- neural network
- matrix completion
- total variation regularization
- expert systems
- machine learning
- compressed sensing
- convex relaxation
- power plant
- regularization parameter
- image denoising
- np hard