A hybrid-logic approach towards fault detection in complex cyber-physical systems

Keyphrases

• Data Mining Techniques 100%
• Fault Detection Algorithm 100%
• Statistical Techniques 100%
• Fault Detection 100%
• Hybrid Logic 100%
• Complex Cyber-physical Systems 100%
• Performance Data 50%
• Existing Data 50%
• Novel Algorithm 50%
• System Components 50%
• Cluster-based 50%
• Output Performance 50%
• Anomaly Detection 50%
• Statistical Independence 50%
• Physical Sensors 50%
• Theorem Proving 50%
• Statistical Hypothesis Testing 50%
• Data Dimensionality 50%
• Sensor Input 50%
• Multivariate Statistical 50%
• System Anomaly Detection 50%
• Systemic Risk Indicators 50%
• Global Systemic Risk 50%
• Anomaly Score 50%

Computer Science

• Cyber Physical Systems 100%
• Fault detection 100%
• Data Mining 66%
• Anomaly Detection 66%
• Statistical Technique 66%
• Data Stream 33%
• Risk Indicator 33%
• Detection Algorithm 33%
• Detection Method 33%
• Performance Data 33%
• Individual Component 33%
• Theorem Proving 33%
• Physical Sensor 33%
• Statistical Independence 33%