Residual-based fault detection using soft computing techniques for condition monitoring at rolling mills.
Francisco SerdioEdwin LughoferKurt PichlerThomas BucheggerHajrudin EfendicPublished in: Inf. Sci. (2014)
Keyphrases
- condition monitoring
- fault detection
- fault diagnosis
- industrial processes
- fault identification
- soft computing
- nuclear power plant
- tennessee eastman
- acoustic emission
- failure detection
- power transformers
- fault detection and isolation
- power plant
- fault detection and diagnosis
- artificial intelligence
- robust fault detection
- fuel cell
- fault localization
- tool wear
- mathematical model
- fuzzy logic
- machine learning
- neural network
- fault isolation
- mathematical morphology
- control system
- knowledge base