Machine Learning for Anomaly Detection in Induction Motors.
Simone MariGiovanni BucciFabrizio CiancettaEdoardo FiorucciAndrea FioravantiPublished in: MetroXRAINE (2023)
Keyphrases
- anomaly detection
- machine learning
- induction motor
- network anomaly detection
- intrusion detection
- detecting anomalies
- network intrusion detection
- network traffic
- unsupervised learning
- anomalous behavior
- fault detection and diagnosis
- pattern recognition
- one class support vector machines
- negative selection algorithm
- detect anomalies
- closed loop
- text mining
- intrusion detection system
- cumulative sum
- reinforcement learning
- feature selection
- computer vision
- real time
- learning algorithm
- computational intelligence
- control scheme
- maximum likelihood
- supervised learning
- support vector machine
- knowledge discovery
- active learning
- training data
- feature extraction
- image segmentation
- artificial intelligence
- genetic algorithm
- data mining
- neural network