Bearing Fault Diagnosis Based on Dynamic Convolution and Multi-scale Gradient Information Aggregation Under Variable Working Conditions.
Yimeng LongZhaowei ShangLingzhi ZhaoPublished in: ICONIP (6) (2022)
Keyphrases
- fault diagnosis
- gradient information
- monitoring and fault diagnosis
- multiscale
- fault detection and isolation
- operating conditions
- neural network
- expert systems
- fault detection and diagnosis
- fault detection
- multiple faults
- bp neural network
- chemical process
- fuzzy logic
- analog circuits
- gas turbine
- electronic equipment
- condition monitoring
- power transformers
- rbf neural network
- rotating machinery
- image processing
- tennessee eastman
- image segmentation
- real time
- power plant
- data fusion
- artificial intelligence