Self-Adaptive Fault Feature Extraction of Rolling Bearings Based on Enhancing Mode Characteristic of Complete Ensemble Empirical Mode Decomposition with Adaptive Noise.
Fang MaLiwei ZhanChengwei LiZhenghui LiTingjian WangPublished in: Symmetry (2019)
Keyphrases
- empirical mode decomposition
- feature extraction
- hilbert huang transform
- signal analysis
- vibration signal
- non stationary
- wavelet transform
- extracted features
- stock market prediction
- fault diagnosis
- wavelet decomposition
- condition monitoring
- feature selection
- noise reduction
- feature vectors
- multi band
- feature space
- intrinsic mode functions
- hilbert transform
- neural network
- texture features
- image compression
- signal processing
- fault detection
- pattern recognition
- multiresolution
- gabor wavelets
- face recognition
- image processing