A novel multi-source heterogeneous data common-individual feature extraction and fusion framework for fault diagnosis 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
- Journal of Process Control
- Publisher
- Elsevier BV
- Volume
- 162
- Pages
- 103730–103730
- Publication date
- 11 April 2026
- Language
- EN