Maximizing Anomaly Detection Performance Using Latent Variable Models in Industrial Systems.
Kai WangZhiying GuoYanfang MoYalin WangXiaofeng YuanPublished in: IEEE Trans Autom. Sci. Eng. (2024)
Keyphrases
- anomaly detection
- latent variable models
- industrial systems
- industrial applications
- latent variables
- fault diagnosis
- computational intelligence
- complex systems
- intelligent systems
- intrusion detection
- real valued
- detecting anomalies
- latent dirichlet allocation
- hidden markov models
- hidden variables
- detect anomalies
- latent space
- neural network
- expert systems
- one class support vector machines
- random variables
- unsupervised learning
- intrusion detection system
- fuzzy logic
- pattern recognition
- artificial intelligence
- data mining
- data sets