A Neuro-Symbolic Approach for Anomaly Detection and Complex Fault Diagnosis Exemplified in the Automotive Domain.
Tim BohneAnne-Kathrin Patricia WindlerMartin AtzmuellerPublished in: K-CAP (2023)
Keyphrases
- anomaly detection
- fault diagnosis
- neural network
- industrial systems
- intrusion detection
- connectionist systems
- expert systems
- detecting anomalies
- anomalous behavior
- network traffic
- network intrusion detection
- fuzzy logic
- fault detection
- network anomaly detection
- multiple faults
- electronic equipment
- gas turbine
- operating conditions
- real world
- fault detection and diagnosis
- negative selection algorithm
- power transformers
- one class support vector machines
- unsupervised learning
- complex systems
- rotating machinery
- analog circuits
- chemical process
- condition monitoring
- intrusion detection system
- evolutionary algorithm
- artificial neural networks
- network security
- monitoring and fault diagnosis
- multi sensor information fusion
- mathematical model
- neuro fuzzy
- computational intelligence
- normal behavior
- pattern recognition