On Combining Convolutional Autoencoders and Support Vector Machines for Fault Detection in Industrial Textures.
Alberto Tellaeche IglesiasMiguel Ángel Campos AnayaGonzalo Pajares-MartinsanzIker Pastor-LópezPublished in: Sensors (2021)
Keyphrases
- fault detection
- industrial processes
- support vector
- learning machines
- fault identification
- fault diagnosis
- gas turbine
- large margin classifiers
- denoising
- failure detection
- tennessee eastman
- kernel function
- condition monitoring
- fuel cell
- fault detection and diagnosis
- fault detection and isolation
- power plant
- fault localization
- feature selection
- restricted boltzmann machine
- robust fault detection
- deep belief networks
- support vector machine
- real time
- underwater vehicles
- fault isolation
- quality improvement
- radial basis function
- image processing
- neural network