A Bearing Fault Diagnosis Model Based on Deformable Atrous Convolution and Squeeze-and-Excitation Aggregation.
Yang WangMiaomiao YangYupeng ZhangZeda XuJigang HuangXia FangPublished in: IEEE Trans. Instrum. Meas. (2021)
Keyphrases
- data mining
- fault diagnosis
- monitoring and fault diagnosis
- fault detection
- neural network
- expert systems
- bp neural network
- gas turbine
- fuzzy logic
- electronic equipment
- rotating machinery
- fault identification
- multiple faults
- operating conditions
- chemical process
- fault detection and diagnosis
- image processing
- failure diagnosis
- power transformers
- industrial systems
- rbf neural network
- machine learning
- analog circuits
- soft computing methods
- fault tree
- vibration signal
- condition monitoring
- industrial applications
- computational intelligence
- knowledge base