RoBiGAN: A bidirectional Wasserstein GAN approach for online robot fault diagnosis via internal anomaly detection.
Tristan SchnellKatrin BottLennart PuckTimothee BuettnerArne RoennauRüdiger DillmannPublished in: IROS (2022)
Keyphrases
- anomaly detection
- fault diagnosis
- intrusion detection
- neural network
- anomalous behavior
- detecting anomalies
- expert systems
- fault detection
- network intrusion detection
- electronic equipment
- gas turbine
- network traffic
- fault detection and diagnosis
- monitoring and fault diagnosis
- detect anomalies
- operating conditions
- power transformers
- fuzzy logic
- multi sensor information fusion
- condition monitoring
- multiple faults
- network anomaly detection
- analog circuits
- rotating machinery
- one class support vector machines
- chemical process
- network security
- clustering analysis
- negative selection algorithm
- machine learning
- intrusion detection system
- genetic algorithm
- real time
- unsupervised learning
- clustering algorithm
- pattern recognition