Agriculture Rotary Tedder Fault Diagnosis Based on Evolutionary Convolutional Neural Network with Genetic Algorithm Optimization.
Mateusz SewioloArkadiusz MystkowskiPublished in: MMAR (2023)
Keyphrases
- fault diagnosis
- genetic algorithm
- convolutional neural network
- neural network
- fuzzy logic
- fault detection
- expert systems
- electronic equipment
- evolutionary computation
- chemical process
- monitoring and fault diagnosis
- power transformers
- bp neural network
- optimization algorithm
- operating conditions
- gas turbine
- rbf neural network
- multi sensor information fusion
- multiple faults
- rotating machinery
- fitness function
- multi objective
- evolutionary algorithm
- genetic algorithm ga
- condition monitoring
- failure diagnosis
- analog circuits
- fault detection and diagnosis
- data mining
- face detection
- feature selection
- artificial neural networks
- fault identification
- industrial systems
- simulated annealing
- fault detection and isolation
- dynamic model
- computer vision
- differential evolution