Feature Extraction of Mixed faults of Rotating Machinery Based on ICA -R and Stochastic Resonance.
Gang YuMang GaoLulu ZhaoYingying ZhuPublished in: CACRE (2019)
Keyphrases
- rotating machinery
- feature extraction
- fault detection
- fault diagnosis
- stochastic resonance
- independent components analysis
- independent component analysis
- image enhancement
- face recognition
- preprocessing
- contrast enhancement
- signal to noise ratio
- principal component analysis
- neural network
- expert systems
- signal processing
- image classification
- image processing
- frequency domain
- feature vectors
- feature selection
- pattern recognition
- additive noise
- wavelet transform
- low signal to noise ratio
- principle component analysis
- signal analysis
- decision support system
- image analysis
- power plant
- machine learning