A Hybrid Model with a Weighted Voting Scheme for Feature Selection in Machinery Condition Monitoring.
Kui ZhangAndrew D. BallFengshou GuYuhua LiPublished in: CASE (2007)
Keyphrases
- voting scheme
- hybrid model
- condition monitoring
- feature selection
- ensemble classifier
- matching algorithm
- artificial neural networks
- support vector machine
- fault detection
- majority voting
- support vector regression
- fault diagnosis
- hybrid models
- text categorization
- support vector
- support vector machine svm
- feature set
- feature extraction
- text classification
- classification accuracy
- vanishing points
- preprocessing step
- feature space
- multi class
- genetic algorithm
- artificial intelligence
- decision trees
- fusion method
- machine learning
- ensemble learning
- feature subset
- k nearest neighbor
- back propagation