Predictive maintenance based on anomaly detection using deep learning for air production unit in the railway industry.
Narjes DavariBruno VelosoRita P. RibeiroPedro Mota PereiraJoão GamaPublished in: DSAA (2021)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- unsupervised feature learning
- network intrusion detection
- machine learning
- network traffic
- supervised learning
- anomalous behavior
- detect anomalies
- mental models
- intrusion detection system
- one class support vector machines
- neural network
- real world
- computer vision
- weakly supervised
- pattern recognition
- model selection
- training set
- dimensionality reduction
- semi supervised
- pairwise