Rotating Machinery Fault Diagnosis Based on Multi-sensor Information Fusion Using Graph Attention Network.
Chenyang LiChee Keong KwohXiaoli LiLingfei MoRuqiang YanPublished in: ICARCV (2022)
Keyphrases
- fault diagnosis
- rotating machinery
- multi sensor information fusion
- fault detection
- neural network
- expert systems
- information fusion
- bp neural network
- fault detection and diagnosis
- fuzzy logic
- monitoring and fault diagnosis
- condition monitoring
- electronic equipment
- operating conditions
- fault identification
- power transformers
- fuzzy theory
- gas turbine
- chemical process
- rbf neural network
- fault diagnostic
- multiple faults
- network structure
- analog circuits
- power plant
- decision support system
- case study