Fault Diagnosis of Bearings and Gears Based on LiteNet With Feature Aggregation.
Qiankun LiXin MaMingliang CuiYu HuJingfeng ZhaoYouqing WangPublished in: IEEE Trans. Instrum. Meas. (2023)
Keyphrases
- fault diagnosis
- condition monitoring
- neural network
- expert systems
- fault detection
- fault detection and diagnosis
- chemical process
- rbf neural network
- operating conditions
- monitoring and fault diagnosis
- bp neural network
- fuzzy logic
- analog circuits
- multiple faults
- electronic equipment
- power transformers
- fault identification
- multi sensor information fusion
- gas turbine
- soft computing methods
- failure diagnosis
- feature vectors
- rotating machinery
- electrical power systems
- power plant
- steam turbine
- artificial neural networks
- industrial systems
- vibration signal
- feature set
- fault tree
- decision making