Global and Local Feature Extraction Using a Convolutional Autoencoder and Neural Networks for Diagnosing Centrifugal Pump Mechanical Faults.
Alexander E. ProsvirinZahoor AhmadJong-Myon KimPublished in: IEEE Access (2021)
Keyphrases
- feature extraction
- neural network
- condition monitoring
- fault diagnosis
- pattern recognition
- model based diagnosis
- fault detection
- restricted boltzmann machine
- preprocessing
- artificial neural networks
- support vector machine svm
- network architecture
- machine learning
- feedforward neural networks
- recurrent neural networks
- pattern classification
- face recognition
- feed forward
- multi layer
- training process
- back propagation
- feature vectors
- deep learning
- feature selection
- discriminant analysis
- rbf neural network
- hidden layer
- extracted features
- markov random field
- activation function
- computer vision
- linear feature extraction