Multi-feature fusion for fault diagnosis of rotating machinery based on convolutional neural network.
Shaoqing LiuZhenshan JiYong WangZuchao ZhangZhanghou XuChaohao KanKe JinPublished in: Comput. Commun. (2021)
Keyphrases
- rotating machinery
- fault diagnosis
- feature fusion
- convolutional neural network
- fault detection
- neural network
- feature extraction
- expert systems
- bp neural network
- fuzzy logic
- multiple features
- face detection
- chemical process
- monitoring and fault diagnosis
- operating conditions
- multi sensor information fusion
- multi sensor
- artificial neural networks
- support vector
- real time
- single feature
- data reduction
- face recognition