Statistical and Neural-Network Approaches for the Classification of Induction Machine Faults Using the Ambiguity Plane Representation.
Tahar BoukraAbdesselam LebaroudGuy ClercPublished in: IEEE Trans. Ind. Electron. (2013)
Keyphrases
- neural network
- pattern recognition
- learning vector quantization
- machine learning methods
- machine learning algorithms
- decision trees
- statistical approaches
- machine learning
- classification accuracy
- maximum entropy modeling
- neural networks and support vector machines
- induction algorithms
- feature representation
- classification scheme
- support vector
- robust classification
- text classification
- rule induction
- multi layer perceptron
- statistical analysis
- training process
- artificial neural networks
- support vector machine svm
- genetic algorithm
- classification models
- statistical methods
- statistical models
- classification algorithm
- fault diagnosis
- back propagation
- inductive learning
- pattern classification
- neural network model
- image representation
- classification rules
- feature extraction
- nearest neighbour
- feature maps
- three dimensional
- fuzzy logic