Interpretable Fault Diagnosis for Industrial Processes Based on Multi-Task Meta-Feature Learning.
Min YinXin MaYunqi LiuYouqing WangPublished in: RICAI (2023)
Keyphrases
- multi task
- fault diagnosis
- fault detection
- multi task learning
- learning tasks
- industrial processes
- multiple tasks
- learning problems
- fault detection and isolation
- learning algorithm
- learning process
- supervised learning
- expert systems
- unsupervised learning
- reinforcement learning
- machine learning algorithms
- fuzzy logic
- prior knowledge
- feature selection
- sparse learning
- image classification
- text categorization
- feature vectors
- fault detection and diagnosis
- neural network