A Fast Sparse Decomposition Based on the Teager Energy Operator in Extraction of Weak Fault Signals.
Baokang YanZhiqian LiFengqi ZhouXu LvFengxing ZhouPublished in: Sensors (2022)
Keyphrases
- frequency ranges
- multiscale decomposition
- failure modes
- frequency modulation
- weak signal
- wavelet transform
- signal reconstruction
- instantaneous frequency
- multiscale
- signal processing
- energy consumption
- frequency band
- fault detection
- sparse data
- sparse representation
- fault diagnosis
- information extraction
- haar transform
- compressive sensing
- energy minimization
- automatic extraction
- image segmentation
- empirical mode decomposition
- signal detection
- multiple faults
- face recognition
- expert systems
- hilbert huang transform
- principal component analysis
- amplitude modulation
- tensor decomposition
- decomposition methods
- bandpass
- spectral analysis
- decomposition method
- wavelet packet
- random projections