A Comparative Study of Transfer Learning on CNN-Based Models for Fault and Anomaly Detection in Industrial Processes.
Anita SalsanoMarialuisa MenannoMario Luca BernardiPublished in: IEA/AIE (2024)
Keyphrases
- anomaly detection
- transfer learning
- industrial processes
- fault detection
- intrusion detection
- one class support vector machines
- detecting anomalies
- fault detection and isolation
- anomalous behavior
- reinforcement learning
- knowledge transfer
- network traffic
- network intrusion detection
- probabilistic model
- learning tasks
- fault diagnosis
- detect anomalies
- transfer knowledge
- negative selection algorithm
- intrusion detection system
- machine learning algorithms
- collaborative filtering
- information extraction
- image processing
- semi supervised learning
- labeled data
- cross domain
- quality improvement
- support vector machine
- prior knowledge
- high dimensional
- expert systems
- genetic algorithm
- machine learning
- data mining