Residual-Hypergraph Convolution Network: A Model-Based and Data-Driven Integrated Approach for Fault Diagnosis in Complex Equipment.
Liqiao XiaYongshi LiangPai ZhengXiao HuangPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- fault diagnosis
- data driven
- industrial systems
- neural network
- fault detection
- expert systems
- chemical process
- fault detection and diagnosis
- monitoring and fault diagnosis
- rbf neural network
- electronic equipment
- bp neural network
- fuzzy logic
- complex systems
- operating conditions
- multiple faults
- condition monitoring
- fault identification
- rotating machinery
- fault detection and isolation
- soft computing methods
- multi sensor information fusion
- gas turbine
- power transformers
- analog circuits
- failure diagnosis
- image processing
- information fusion
- neural network model
- network structure
- decision making
- fault tree
- electrical power systems
- artificial intelligence
- machine learning