Enhancing equipment safeguarding in IIoT: A self-supervised fault diagnosis paradigm based on asymmetric graph autoencoder.
Zhuohang ChenShen LiuChao LiYuanhong ChangJinglong ChenGaoshan FengShuilong HePublished in: Knowl. Based Syst. (2024)
Keyphrases
- fault diagnosis
- neural network
- expert systems
- fuzzy logic
- fault detection
- fault detection and diagnosis
- operating conditions
- condition monitoring
- power transformers
- fault identification
- multiple faults
- industrial systems
- rbf neural network
- monitoring and fault diagnosis
- electronic equipment
- multi sensor information fusion
- bp neural network
- fault tree
- power plant
- gas turbine
- chemical process
- rotating machinery
- electrical power systems
- failure diagnosis
- analog circuits
- soft computing methods
- bp algorithm
- steam turbine
- real time
- fault detection and isolation
- clustering algorithm
- power system
- fault diagnostic