Industrial fault diagnosis based on active learning and semi-supervised learning using small training set.
Chuanxia JianKaijun YangYinhui AoPublished in: Eng. Appl. Artif. Intell. (2021)
Keyphrases
- fault diagnosis
- semi supervised learning
- active learning
- training set
- unlabeled data
- supervised learning
- industrial systems
- labeled data
- semi supervised
- gas turbine
- chemical process
- training data
- expert systems
- training examples
- fault detection
- industrial applications
- neural network
- fault diagnostic
- semi supervised classification
- random sampling
- learning algorithm
- label propagation
- operating conditions
- co training
- unsupervised learning
- monitoring and fault diagnosis
- multi sensor information fusion
- machine learning
- transfer learning
- labeled examples
- test set
- unlabeled examples
- class labels
- labeled and unlabeled data
- data sets
- decision boundary
- industrial processes
- labeled instances
- pairwise
- dimensionality reduction
- fuzzy logic
- decision trees
- knowledge base