Fault Diagnosis of a Propeller Using Sub-Nyquist Sampling and Compressed Sensing.
Yuki KatoPublished in: IEEE Access (2022)
Keyphrases
- fault diagnosis
- compressed sensing
- compressive sampling
- image reconstruction
- random projections
- orthogonal matching pursuit
- neural network
- expert systems
- sparse representation
- compressive sensing
- random sampling
- fault detection
- natural images
- fault detection and diagnosis
- power transformers
- multiple faults
- operating conditions
- multi sensor information fusion
- fuzzy logic
- analog circuits
- chemical process
- monitoring and fault diagnosis
- sample size
- unsupervised learning
- signal processing
- higher order
- multiresolution
- high quality