Using physics-informed neural networks with small datasets to predict the length of gas turbine nozzle cracks.
Maciej BadoraPrzemyslaw BartosikAntonino GrazianoTomasz SzolcPublished in: Adv. Eng. Informatics (2023)
Keyphrases
- gas turbine
- neural network
- fault diagnosis
- fault tree
- digital images
- pattern recognition
- state space
- data sets
- genetic algorithm
- fault detection
- multilayer perceptron
- learning algorithm
- expert systems
- case based reasoning
- benchmark datasets
- back propagation
- fuzzy logic
- neural network model
- artificial neural networks
- soft computing
- operating conditions
- computer science
- artificial intelligence