Intelligent Fault Diagnosis of Rotary Machinery by Convolutional Neural Network with Automatic Hyper-Parameters Tuning Using Bayesian Optimization.
Davor KolarDragutin LisjakMichal PajakMihael GudlinPublished in: Sensors (2021)
Keyphrases
- fault diagnosis
- hyperparameters
- convolutional neural network
- bayesian inference
- posterior distribution
- neural network
- industrial systems
- model selection
- expert systems
- bayesian methods
- cross validation
- conjugate priors
- bayesian framework
- closed form
- fault detection
- operating conditions
- fuzzy logic
- support vector
- maximum likelihood
- prior information
- chemical process
- random sampling
- monitoring and fault diagnosis
- bp neural network
- parameter settings
- maximum a posteriori
- face detection
- sample size
- multi sensor information fusion
- rbf neural network
- noise level
- bayesian networks
- active learning
- data mining
- em algorithm
- probabilistic model
- multiscale
- learning algorithm
- generative model
- artificial neural networks