Semi-Supervised Self-Correcting Graph Neural Network for Intelligent Fault Diagnosis of Rotating Machinery.
Hao ChenXian-Bo WangZhi-Xin YangPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- fault diagnosis
- rotating machinery
- neural network
- semi supervised
- industrial systems
- fault detection
- bp neural network
- expert systems
- semi supervised learning
- fault detection and diagnosis
- fuzzy logic
- condition monitoring
- multi sensor information fusion
- analog circuits
- intelligent systems
- labeled data
- rbf neural network
- operating conditions
- power transformers
- multiple faults
- fault identification
- knowledge based expert systems
- electronic equipment
- gas turbine
- electrical power systems
- multilayer perceptron
- power plant
- chemical process
- unlabeled data
- failure diagnosis
- monitoring and fault diagnosis
- artificial neural networks
- fault diagnostic
- tennessee eastman
- prediction model
- self organizing maps
- radial basis function