Unsupervised Feature Selection Based on Fuzzy Clustering for Fault Detection of the Tennessee Eastman Process.
Carol BedoyaCesar A. UribeClaudia IsazaPublished in: IBERAMIA (2012)
Keyphrases
- fault detection
- tennessee eastman
- fuzzy clustering
- industrial processes
- chemical process
- fault diagnosis
- unsupervised feature selection
- fuzzy clustering algorithm
- fuzzy c means
- power plant
- membership functions
- reinforcement learning
- fault detection and diagnosis
- databases
- genetic programming
- pattern recognition
- clustering algorithm
- fuzzy clustering algorithms
- decision making