Fault detection and diagnosis for non-linear processes empowered by dynamic neural networks.
Georgios GravanisIoannis DragogiasKonstantinos PapakiriakosChrysovalantou ZiogouKonstantinos I. DiamantarasPublished in: Comput. Chem. Eng. (2022)
Keyphrases
- fault detection and diagnosis
- neural network
- fault diagnosis
- fault detection and isolation
- pattern recognition
- fault detection
- dynamic environments
- neural network model
- highly non linear
- multi layer
- genetic algorithm
- back propagation
- industrial processes
- artificial neural networks
- bp neural network
- case based reasoning
- dynamic aspects
- machine learning