Cascade Feature Selection and ELM for automatic fault diagnosis of the Tennessee Eastman process.
Francisco de Assis BoldtThomas W. RauberFlávio Miguel VarejãoPublished in: Neurocomputing (2017)
Keyphrases
- fault diagnosis
- chemical process
- tennessee eastman
- fault detection
- feature selection
- industrial processes
- fault detection and diagnosis
- expert systems
- neural network
- power plant
- industrial systems
- bp neural network
- multiple faults
- electronic equipment
- condition monitoring
- fuzzy logic
- gas turbine
- rbf neural network
- operating conditions
- power transformers
- failure diagnosis
- rotating machinery
- multi sensor information fusion
- analog circuits
- feature set
- artificial intelligence
- genetic algorithm
- data mining