Fault detection and identification using Bayesian recurrent neural networks.
Weike SunAntonio R. C. PaivaPeng XuAnantha SundaramRichard D. BraatzPublished in: Comput. Chem. Eng. (2020)
Keyphrases
- recurrent neural networks
- fault detection
- fault diagnosis
- industrial processes
- neural network
- fault identification
- feed forward
- echo state networks
- recurrent networks
- failure detection
- condition monitoring
- tennessee eastman
- reservoir computing
- robust fault detection
- neural model
- feedforward neural networks
- power plant
- fault detection and diagnosis
- fuel cell
- artificial neural networks
- cascade correlation
- bayesian inference
- nonlinear dynamic systems
- fault isolation
- fault localization
- search space
- back propagation
- artificial intelligence
- genetic algorithm