Intelligent fault diagnosis of rolling bearings using a semi-supervised convolutional neural network.
Yaochun WuRongzhen ZhaoWuyin JinTianjing HeSencai MaMingkuan ShiPublished in: Appl. Intell. (2021)
Keyphrases
- fault diagnosis
- convolutional neural network
- semi supervised
- monitoring and fault diagnosis
- condition monitoring
- industrial systems
- neural network
- face detection
- fault detection
- expert systems
- bp neural network
- fault detection and diagnosis
- vibration signal
- semi supervised learning
- fuzzy logic
- pairwise
- operating conditions
- unlabeled data
- power transformers
- gas turbine
- labeled data
- intelligent systems
- fault identification
- failure diagnosis
- chemical process
- analog circuits
- fault detection and isolation
- object detection
- fault tree
- active learning
- electrical power systems
- knowledge based expert systems
- multi sensor information fusion
- rotating machinery
- tennessee eastman
- electronic equipment
- probabilistic neural networks
- detection method
- fuzzy sets
- multi class
- support vector machine
- artificial intelligence