Fault diagnosis of industrial robot based on dual-module attention convolutional neural network.
Kaijie LuChong ChenTao WangLianglun ChengJian QinPublished in: Auton. Intell. Syst. (2022)
Keyphrases
- fault diagnosis
- convolutional neural network
- industrial systems
- gas turbine
- chemical process
- neural network
- fault detection
- face detection
- fault diagnostic
- expert systems
- monitoring and fault diagnosis
- multiple faults
- rbf neural network
- industrial processes
- fault detection and diagnosis
- fuzzy logic
- bp neural network
- operating conditions
- electronic equipment
- multi sensor information fusion
- industrial applications
- failure diagnosis
- power transformers
- rotating machinery
- fault identification
- fault tree
- condition monitoring
- electrical power systems
- power plant
- fault detection and isolation
- analog circuits
- computational intelligence
- real time
- multi class
- feature selection
- machine learning