Time-Frequency Feature Extraction of Acoustic Emission Signals in Aluminum Alloy MIG Welding Process Based on SST and PCA.
Kuanfang HeXuejun LiPublished in: IEEE Access (2019)
Keyphrases
- acoustic emission
- feature extraction
- welding process
- principal component analysis
- condition monitoring
- industrial processes
- wavelet transform
- fault detection
- frequency domain
- signal analysis
- dimensionality reduction
- face recognition
- linear discriminant analysis
- dimension reduction
- feature space
- discriminant analysis
- radial basis function neural network
- image classification
- pattern classification
- feature vectors
- pattern recognition
- signal processing
- independent component analysis
- image processing
- fault diagnosis
- support vector machine svm
- feature selection
- low dimensional
- feature set
- sensitivity analysis
- support vector
- thin film
- partial least squares
- machine learning
- spectral characteristics
- short time fourier transform
- computer vision