UMAD-G: Unsupervised Multi-Modal Time Series Anomaly Detection via Graph

Keyphrases

• Sensor Data 100%
• Multimodal Time Series 100%
• Time Series Anomaly Detection 100%
• High Performance 50%
• Performance Comparison 50%
• Increased Productivity 50%
• Manufacturing Facility 50%
• Detecting Anomalies 50%
• Spatial Dependence 50%
• Sudden Stops 50%
• Industry 4.0 (I4.0) 50%
• Smart Factory 50%
• Graph Attention Network 50%
• Intramodal 50%
• Modal Correlation 50%
• Equipment Aging 50%

Engineering

• Sensor Data 100%
• Anomaly Detection 100%
• Limitations 50%
• Increasing Productivity 50%
• Production Line 50%

Computer Science

• Anomaly Detection 100%
• Performance Comparison 50%
• Attention (Machine Learning) 50%
• Detect Anomaly 50%
• Production Line 50%
• Industry 4.0 50%