Monitoring and fault detection in processes with multiple operating modes, transitory phases and start-ups using principal component analysis.
Diego Garcia-AlvarezMaria J. FuenteGregorio I. SainzPublished in: ETFA (2010)
Keyphrases
- fault detection
- industrial processes
- failure detection
- principal component analysis
- condition monitoring
- fault detection and diagnosis
- fault diagnosis
- fault identification
- tennessee eastman
- fault detection and isolation
- rotating machinery
- robust fault detection
- monitoring system
- real time
- quality improvement
- dimensionality reduction
- fault localization
- computational models
- fault isolation
- independent component analysis
- fuel cell
- data warehouse
- knowledge discovery
- artificial intelligence