Dynamic spatio-temporal graph-based semi-supervised framework for fault diagnosis and early warning in industrial processes
Fields of Study & Subjects
Fault Detection and Control Systems
Machine Fault Diagnosis Techniques
Anomaly Detection Techniques and Applications
Publication details
- Journal / source
- Process Safety and Environmental Protection
- Publisher
- Elsevier BV
- Volume
- 210
- Pages
- 108575–108575
- Publication date
- 18 February 2026
- Language
- EN