Feature selection for fault detection systems: Application to the Tennessee Eastman Process.
Hafida SenoussiBrigitte Chebel-MorelloMouloud DenaiNoureddine ZerhouniPublished in: CASE (2011)
Keyphrases
- fault detection
- tennessee eastman
- industrial processes
- chemical process
- feature selection
- fault diagnosis
- fault identification
- power plant
- condition monitoring
- fault detection and diagnosis
- robust fault detection
- management system
- machine learning
- case based reasoning
- fault localization
- expert systems
- data analysis
- fuel cell
- neural network
- constraint satisfaction problems
- distributed systems
- failure detection
- control system
- fault detection and isolation