Fault Classification of a Centrifugal Pump in Normal and Noisy Environment with Artificial Neural Network and Support Vector Machine Enhanced by a Genetic Algorithm.
Abtin NourmohammadzadehSven HartmannPublished in: TPNC (2015)
Keyphrases
- support vector machine
- artificial neural networks
- noisy environments
- genetic algorithm
- classification method
- support vector machine svm
- feature vectors
- support vector
- classification algorithm
- multi layer perceptron
- binary decision tree
- condition monitoring
- pattern recognition
- decision boundary
- svm classifier
- machine learning
- text classification
- image classification
- classification accuracy
- high classification accuracy
- svm classification
- neural network
- back propagation
- genetic algorithm ga
- feature space
- noise reduction
- small sample
- generalization ability
- pattern classification
- radial basis function
- training set
- fault diagnosis
- multi class
- feature selection
- evolutionary algorithm
- background noise
- computer vision
- soft margin
- speech recognition
- simulated annealing
- hyperplane
- bayesian networks
- decision trees
- fitness function
- speech enhancement