Intelligent fault diagnosis for chemical process under imbalanced data: A non-local frequency-domain sparse hash autoencoder approach
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
- Volume
- 208
- Pages
- 108502–108502
- Publication date
- 28 January 2026
- Language
- EN