New Approach for Bearing Fault Diagnosis Based on Fractional Spatio-Temporal Sparse Low Rank Matrix Under Multichannel Time-Varying Speed Condition.
Qing LiPublished in: IEEE Trans. Instrum. Meas. (2022)
Keyphrases
- fault diagnosis
- low rank matrix
- monitoring and fault diagnosis
- low rank
- sparse matrix
- singular value decomposition
- matrix factorization
- convex optimization
- approximation methods
- expert systems
- neural network
- fault detection
- fault detection and diagnosis
- wind turbine
- multiple faults
- operating conditions
- chemical process
- power transformers
- fuzzy logic
- linear combination
- condition monitoring
- image sequences
- real time
- high dimensional
- missing data
- semi supervised
- high order
- analog circuits
- genetic algorithm
- high dimensional data
- data matrix
- clustering algorithm
- least squares