Deep Convolutional Variational Autoencoder as a 2D-Visualization Tool for Partial Discharge Source Classification in Hydrogenerators.
Ryad A. ZemouriMélanie LévesqueNormand AmyotClaude HudonOlivier KokokoSouheil-Antoine TahanPublished in: IEEE Access (2020)
Keyphrases
- restricted boltzmann machine
- classification accuracy
- support vector
- decision trees
- machine learning
- feature extraction
- deep learning
- supervised learning
- training set
- support vector machine
- partial discharge
- image classification
- feature vectors
- feature space
- real time
- text classification
- support vector machine svm
- mathematical model
- cost sensitive
- dynamic systems
- feature selection
- neural network