Fault Diagnosis of Rotating Machinery Based on 1D-2D Joint Convolution Neural Network.
Wenliao DuPengjie HuHongchao WangXiaoyun GongShuangyuan WangPublished in: IEEE Trans. Ind. Electron. (2023)
Keyphrases
- rotating machinery
- fault diagnosis
- neural network
- fault detection
- bp neural network
- expert systems
- analog circuits
- fuzzy logic
- multiple faults
- electronic equipment
- failure diagnosis
- back propagation
- image processing
- rbf neural network
- fault identification
- power transformers
- operating conditions
- industrial systems
- gas turbine
- multi sensor information fusion
- fault detection and diagnosis
- condition monitoring
- bp algorithm
- chemical process
- intelligent systems
- artificial neural networks
- artificial intelligence
- electrical power systems
- steam turbine
- monitoring and fault diagnosis
- fault diagnostic
- power plant
- neural network model
- self organizing maps
- genetic algorithm
- fault tree
- real time