Moving Window Abnormal Condition Monitoring Strategy Based on Supervised Sample Selection and Its Industrial Application.
Kaixun HeZhaoyang SuPublished in: CAA SAFEPROCESS (2019)
Keyphrases
- industrial applications
- condition monitoring
- moving window
- sample selection
- selection strategy
- active learning
- fault detection
- fault diagnosis
- power transformers
- supervised learning
- nuclear power plant
- training data
- acoustic emission
- semi supervised
- tool wear
- support vector machine
- feature space
- learning algorithm
- multiscale analysis
- selection algorithm
- data sets
- multiscale
- feature selection
- genetic algorithm