A new fault classification approach applied to Tennessee Eastman benchmark process.
Marcos F. S. V. D'AngeloReinaldo M. PalharesMurilo C. O. Camargos FilhoRenato Dourado MaiaJoão Batista MendesPetr Yakovlevitch EkelPublished in: Appl. Soft Comput. (2016)
Keyphrases
- tennessee eastman
- fault detection
- chemical process
- fault diagnosis
- classification process
- pattern recognition
- supervised learning
- feature space
- image classification
- machine learning
- support vector
- neural network
- artificial intelligence
- classification systems
- face recognition
- decision rules
- real world
- training set
- decision trees
- machine learning methods
- process model
- svm classifier
- machine learning algorithms
- support vector machine svm
- text classification
- support vector machine
- classification accuracy