Fault diagnosis of rolling bearings with noise signal based on modified kernel principal component analysis and DC-ResNet.
Yunji ZhaoMenglin ZhouXiaozhuo XuNannan ZhangPublished in: CAAI Trans. Intell. Technol. (2023)
Keyphrases
- vibration signal
- fault diagnosis
- monitoring and fault diagnosis
- kernel principal component analysis
- condition monitoring
- fault detection
- operating conditions
- discriminant analysis
- kernel pca
- wavelet transform
- expert systems
- neural network
- morphological filters
- principal components
- preprocessing
- denoising
- fuzzy logic
- wavelet analysis
- feature extraction
- principal component analysis
- bp neural network
- high frequency
- median filter
- frequency band
- classification method
- extracted features
- kernel methods
- feature space
- kernel function
- high dimensional feature space
- kernel matrix
- pattern recognition
- multiscale
- radial basis function
- support vector machine svm
- training data