Visualization of Induction Machine Fault Detection Using Self-Organizing Map and Support Vector Machine.
Sitao WuTommy W. S. ChowDi HuangPublished in: IPCV (2006)
Keyphrases
- self organizing maps
- fault detection
- support vector machine
- fault diagnosis
- neural network
- industrial processes
- fault identification
- condition monitoring
- failure detection
- tennessee eastman
- fuel cell
- vibration signal
- k means
- machine learning
- som neural network
- unsupervised learning
- input data
- probabilistic neural network
- visualization methods
- robust fault detection
- feature vectors
- kernel function
- feature selection
- support vector
- training data
- knn
- power plant
- expert systems
- generative topographic mapping
- computer vision
- artificial intelligence
- decision trees
- pattern classification
- growing self organizing map