Empirical Research in Anomaly Detection for Rotating Machines Diagnosis using Deep Learning.
Chae-Won LeeSo-Hyun ChoJong-Hun LeeJun-Seong LeeSungchul ChoiWonchul SeoPublished in: Big Data (2022)
Keyphrases
- anomaly detection
- deep learning
- unsupervised learning
- intrusion detection
- detecting anomalies
- unsupervised feature learning
- anomalous behavior
- machine learning
- mental models
- network intrusion detection
- network traffic
- network anomaly detection
- intrusion detection system
- detect anomalies
- supervised learning
- weakly supervised
- dimensionality reduction
- one class support vector machines
- hidden markov models
- model selection
- text classification
- object recognition
- face recognition
- feature selection