Anomaly Detection of Three-Phase Induction Motor Based on Unsupervised Learning Using Frequency Distortion Characteristics.
Jungyu ChoiSungbin ImPublished in: ICCE (2024)
Keyphrases
- anomaly detection
- induction motor
- unsupervised learning
- intrusion detection
- closed loop
- control scheme
- detecting anomalies
- network intrusion detection
- anomalous behavior
- network traffic
- supervised learning
- single phase
- network anomaly detection
- dimensionality reduction
- one class support vector machines
- intrusion detection system
- feature selection
- fuzzy logic controller
- negative selection algorithm
- machine learning
- expectation maximization
- simulation model
- control strategy
- fuzzy controller
- text classification
- semi supervised
- control system
- neural network
- input output
- model selection
- multi objective
- object recognition
- pulse width modulation