Measurement and diagnostic system for detecting and classifying faults in the rotary hay tedder using multilayer perceptron neural networks.
Arkadiusz MystkowskiAdam WolniakowskiAdam IdzkowskiMaciej CiezkowskiMichal OstaszewskiRafal KociszewskiAdam KotowskiZbigniew KuleszaSlawomir DobrzanskiKrzysztof MiastkowskiPublished in: Eng. Appl. Artif. Intell. (2024)
Keyphrases
- multilayer perceptron
- neural network
- fault diagnosis
- back propagation
- fault detection and diagnosis
- fault detection
- model based diagnosis
- artificial neural networks
- neural network model
- radial basis function
- hidden layer
- fault detection and isolation
- backpropagation algorithm
- probabilistic neural networks
- feedforward neural networks
- radial basis function neural network
- fuzzy logic
- radial basis function network
- input vector
- pattern recognition
- modular neural network
- bp neural network
- computer aided
- bp algorithm
- training algorithm
- rbf network
- activation function
- neuro fuzzy models
- feed forward
- genetic algorithm
- multi layer perceptron
- recurrent neural networks
- self organizing maps
- control system
- expert systems
- hidden neurons
- decision making
- commonly applied
- computer vision
- data sets
- real time