An adaptive constrained clustering approach for real-time fault detection of industrial systems.
Bahman AskariAugusto BozzaGraziana CavoneRaffaele CarliMariagrazia DotoliPublished in: Eur. J. Control (2023)
Keyphrases
- fault detection
- fault diagnosis
- industrial systems
- constrained clustering
- real time
- fault identification
- industrial processes
- industrial applications
- expert systems
- fuel cell
- constrained spectral clustering
- duplicate detection
- neural network
- fuzzy logic
- tennessee eastman
- clustering method
- robust fault detection
- complex systems
- semi supervised
- hierarchical clustering
- chemical process
- clustering algorithm
- decision making
- data analysis
- search space
- similarity measure
- k means
- active learning
- control system
- intelligent systems