A novel convolutional neural network with interference suppression for the fault diagnosis of mechanical rotating components.
Jingli YangShuangyan YinChao SunTianyu GaoPublished in: Neural Comput. Appl. (2022)
Keyphrases
- fault diagnosis
- convolutional neural network
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- face detection
- fuzzy logic
- chemical process
- electronic equipment
- rotating machinery
- operating conditions
- soft computing methods
- bp neural network
- rbf neural network
- multiple faults
- analog circuits
- failure diagnosis
- electrical power systems
- power transformers
- monitoring and fault diagnosis
- gas turbine
- industrial systems
- multi sensor information fusion
- power plant
- soft computing
- detection method
- steam turbine
- fault diagnostic
- fault detection and isolation
- fault identification
- intelligent systems
- edge detection
- fault tree
- artificial neural networks
- decision making
- genetic algorithm