An Approach for Feature Extraction and Diagnosis of Motor Rotor Bearing Based on Convolution Neural Network.
Hao WangDongsheng YangYongheng PangTing LiBo HuPublished in: ICONIP (1) (2018)
Keyphrases
- fault diagnosis
- neural network
- feature extraction
- induction motor
- image processing
- bp neural network
- fault detection
- pattern recognition
- expert systems
- operating conditions
- feature vectors
- preprocessing
- pattern classification
- artificial neural networks
- control system
- neural network is trained
- back propagation
- image classification
- wavelet transform
- linear feature extraction
- neural network model
- feed forward
- condition monitoring
- support vector machine svm
- fault identification
- fuzzy logic
- face recognition
- feature selection
- neural nets
- linear discriminant analysis
- medical diagnosis
- multi layer neural network
- closed loop
- dimensionality reduction
- feature space
- genetic algorithm
- multilayer perceptron
- texture analysis
- network architecture
- extracted features
- model based diagnosis
- activation function
- radial basis function
- mathematical model
- medical images
- feature set
- convolution kernel