Deep Ensemble-Based Classifier for Transfer Learning in Rotating Machinery Fault Diagnosis.
Fannia PachecoAlin DrimusLars DuggenMariela CerradaDiego CabreraRené-Vinicio SánchezPublished in: IEEE Access (2022)
Keyphrases
- rotating machinery
- transfer learning
- fault diagnosis
- fault detection
- learning algorithm
- neural network
- training data
- training set
- labeled data
- learning tasks
- knowledge transfer
- active learning
- feature selection
- machine learning
- reinforcement learning
- cross domain
- semi supervised learning
- expert systems
- transfer knowledge
- collaborative filtering
- operating conditions
- decision trees
- target domain
- training samples
- text categorization
- feature space
- power plant
- machine learning algorithms
- monitoring and fault diagnosis
- chemical process
- support vector
- base classifiers
- unlabeled data
- feature set
- multi task
- support vector machine
- training examples
- fuzzy logic
- information retrieval
- ensemble methods
- artificial neural networks
- text classification
- supervised learning
- model selection