Condition Monitoring at Rolling Mills with Data-Driven Residual-Based Fault Detection.
Francisco SerdioEdwin LughoferThomas BucheggerKurt PichlerHajrudin EfendicPublished in: MIM (2013)
Keyphrases
- condition monitoring
- fault detection
- data driven
- fault diagnosis
- fault identification
- industrial processes
- acoustic emission
- tennessee eastman
- fuel cell
- failure detection
- nuclear power plant
- fault detection and diagnosis
- power transformers
- power plant
- neural network
- fault detection and isolation
- mathematical model
- artificial intelligence
- real time
- tool wear
- fault localization
- genetic programming
- fault isolation
- artificial neural networks
- expert systems
- multiscale