High-accuracy few-shot fault diagnosis for smart hydraulic systems using contrastive learning enhanced categorical generative adversarial network
Fields of Study & Subjects
Hydraulic and Pneumatic Systems
Machine Fault Diagnosis Techniques
Water Systems and Optimization
Publication details
- Journal / source
- Engineering Applications of Artificial Intelligence
- Publisher
- Elsevier BV
- Volume
- 176
- Pages
- 114593–114593
- Publication date
- 6 April 2026
- Language
- EN