Health Monitoring of Air Compressors Using Reconstruction-Based Deep Learning for Anomaly Detection with Increased Transparency.
Magnus GribbestadMuhammad Umair HassanIbrahim A. HameedKelvin SundliPublished in: Entropy (2021)
Keyphrases
- anomaly detection
- deep learning
- health monitoring
- unsupervised learning
- monitoring system
- sensor data
- intrusion detection
- smart environments
- power supply
- daily life
- detecting anomalies
- machine learning
- anomalous behavior
- network traffic
- smart home
- one class support vector machines
- intrusion detection system
- mental models
- weakly supervised
- high resolution
- text classification
- supervised learning
- semi supervised
- neural network
- detect anomalies
- decision making
- pattern recognition
- pairwise
- context aware
- expectation maximization
- model selection