Self Organizing Map (SOM) Approach for Classification of Mechanical Faults in Induction Motors.
Emin GermenDogan Gökhan EceÖmer Nezih GerekPublished in: IWANN (2007)
Keyphrases
- self organizing maps
- som neural network
- learning vector quantization
- unsupervised learning
- neural network
- probabilistic neural network
- fault detection and diagnosis
- growing self organizing map
- induction motor
- competitive learning
- feature maps
- neural gas
- topology preserving
- input data
- pattern recognition
- support vector machine
- k means
- feature selection
- fault diagnosis
- pattern classification
- image data
- feature vectors
- machine learning
- region growing
- model selection
- maximum likelihood
- data mining
- real time
- support vector