Self adaptive growing neural network classifier for faults detection and diagnosis.
Mustapha BarakatFabrice DruauxDimitri LefebvreMohamad KhalilOussama MustaphaPublished in: Neurocomputing (2011)
Keyphrases
- fault diagnosis
- neural network
- fault detection
- model based diagnosis
- multiple faults
- fault detection and diagnosis
- fuzzy artmap
- learning vector quantization
- bp neural network
- fault model
- object detection
- backpropagation neural network
- root cause
- class labels
- false positives
- training data
- discriminative classifiers
- training process
- false negative
- detection method
- detection algorithm
- fault identification
- support vector
- feature maps
- genetic algorithm
- probabilistic neural network
- boosted classifiers
- multi layer perceptron
- detection accuracy
- anomaly detection
- training set
- expert systems
- feature space
- recurrent neural networks
- error detection
- detection rate
- classification algorithm
- self organizing maps
- face detection
- training examples
- fuzzy logic
- artificial neural networks
- fault detection and isolation