- Artificial Intelligence in Healthcare
- Domain Adaptation and Few-Shot Learning
- Multimodal Machine Learning Applications
- Educational Reforms and Innovations
- Fault Detection and Control Systems
- Machine Learning in Materials Science
- Icing and De-icing Technologies
- Machine Learning and Data Classification
- Risk and Safety Analysis
- Regional Development and Environment
- Advanced Image and Video Retrieval Techniques
- Non-Destructive Testing Techniques
- Infrastructure Maintenance and Monitoring
- Imbalanced Data Classification Techniques
- Medical Research and Treatments
Zhejiang University-University of Edinburgh Institute
2023
Zhejiang University
2023
University of Illinois Urbana-Champaign
2023
Although convolution neural network (CNN) has achieved certain success in fault detection and diagnosis (FDD) tasks the chemical engineering industry, performance credibility of CNN-based FDD methods are greatly limited by two factors. First, CNN relies upon strong temporal/spatial correlation data, which is very difficult to obtain generic tabular data. Second, most have poor interpretability due encapsulation mechanism feature extraction, thus there great difficulty identifying root-cause...