Anomaly detection of power consumption in yarn spinning using transfer learning.
Chuqiao XuJunliang WangJie ZhangXiaoou LiPublished in: Comput. Ind. Eng. (2021)
Keyphrases
- power consumption
- transfer learning
- anomaly detection
- low power
- intrusion detection
- learning tasks
- detecting anomalies
- labeled data
- machine learning
- anomalous behavior
- network traffic
- semi supervised learning
- reinforcement learning
- activity recognition
- collaborative filtering
- active learning
- intrusion detection system
- cross domain
- text classification
- transfer knowledge
- learning algorithm
- network security
- one class support vector machines
- text categorization
- machine learning algorithms
- data sets
- unsupervised learning
- data analysis
- neural network
- unlabeled data
- power dissipation
- text mining
- detect anomalies
- power reduction
- databases