Dynamic Graph-Based Feature Learning With Few Edges Considering Noisy Samples for Rotating Machinery Fault Diagnosis.
Kaibo ZhouChaoying YangJie LiuQi XuPublished in: IEEE Trans. Ind. Electron. (2022)
Keyphrases
- fault diagnosis
- rotating machinery
- fault detection
- neural network
- fault detection and isolation
- fuzzy logic
- chemical process
- power transformers
- electronic equipment
- monitoring and fault diagnosis
- fault diagnostic
- gas turbine
- bp neural network
- expert systems
- learning algorithm
- fault isolation
- multi sensor information fusion
- industrial systems
- failure diagnosis
- machine learning