Fault Feature Extraction and Diagnosis of Rolling Bearings Based on Enhanced Complementary Empirical Mode Decomposition with Adaptive Noise and Statistical Time-Domain Features.
Liwei ZhanFang MaJingjing ZhangChengwei LiZhenghui LiTingjian WangPublished in: Sensors (2019)
Keyphrases
- feature extraction
- empirical mode decomposition
- fault diagnosis
- extracted features
- hilbert huang transform
- signal analysis
- feature vectors
- vibration signal
- feature set
- frequency domain
- image processing
- fault detection
- feature space
- non stationary
- stock market prediction
- texture features
- gabor filters
- condition monitoring
- feature detection
- spatial information
- wavelet transform
- face recognition
- hilbert transform
- feature selection