A Locally Recurrent Neural Network Based Approach for the Early Fault Detection.
Sara CarcangiuAugusto MontisciPublished in: RTSI (2018)
Keyphrases
- fault detection
- recurrent neural networks
- fault diagnosis
- industrial processes
- neural network
- fault identification
- reservoir computing
- feed forward
- tennessee eastman
- condition monitoring
- failure detection
- artificial neural networks
- complex valued
- recurrent networks
- neural model
- fuel cell
- hidden layer
- robust fault detection
- fault localization
- echo state networks
- long short term memory
- power plant
- fault isolation
- fault detection and diagnosis
- nonlinear dynamic systems
- learning algorithm
- neural network structure
- genetic programming