Gear fault pattern recognition based on atomic decomposition and Support Vector Machines.
Guodong WangJianhong YangMin LiJinwu XuPublished in: FSKD (2010)
Keyphrases
- learning machines
- support vector
- pattern recognition
- fault diagnosis
- large margin classifiers
- neural network
- kernel methods
- machine learning
- support vector machine
- fault detection
- ensemble learning
- classification accuracy
- image processing
- signal processing
- logistic regression
- loss function
- image analysis
- decomposition method
- kernel function
- power quality disturbance
- cross validation
- feature extraction
- model selection
- computer vision
- fuzzy logic
- radial basis function
- generalization bounds
- knowledge base
- generalization ability
- expert systems
- binary classification
- wavelet packet
- data sets
- soft margin
- decision function
- pattern recognition problems
- feature selection
- parallel machines
- hyperplane
- flowshop
- graph matching
- pattern classification
- scheduling problem
- denoising
- svm classifier
- image classification