A Semi-supervised Approach for Steam Turbine Health Prognostics Based on GAN and PF.
Zijun QueYong XiongZhengguo XuPublished in: IEEM (2019)
Keyphrases
- semi supervised
- steam turbine
- fault diagnosis
- fault detection
- operating conditions
- semi supervised learning
- health care
- pairwise
- labeled data
- particle filter
- unlabeled data
- unsupervised learning
- supervised learning
- semi supervised clustering
- pairwise constraints
- active learning
- multi view
- structuring elements
- metric learning
- data sets
- machine learning
- health management
- co training
- decision making
- prior knowledge
- information systems
- artificial intelligence
- steady state
- semi supervised classification
- health information
- image processing