Evaluation of the Extreme Learning Machine for automatic fault diagnosis of the Tennessee Eastman chemical process.
Francisco de Assis BoldtThomas W. RauberFlávio Miguel VarejãoPublished in: IECON (2014)
Keyphrases
- activation function
- chemical process
- tennessee eastman
- extreme learning machine
- fault diagnosis
- neural network
- feed forward neural networks
- hidden nodes
- fault detection
- feedforward neural networks
- rbf neural network
- artificial neural networks
- neural nets
- single layer
- learning rate
- fuzzy logic
- real time
- expert systems
- fault detection and diagnosis
- genetic algorithm
- multi sensor information fusion
- intelligent systems
- artificial intelligence