Rolling Bearing Fault Diagnosis Based on EWT Sub-Modal Hypothesis Test and Ambiguity Correlation Classification.
Mingtao GeJie WangYicun XuFangfang ZhangKe BaiXiangyang RenPublished in: Symmetry (2018)
Keyphrases
- monitoring and fault diagnosis
- fault diagnosis
- hypothesis test
- fault detection
- neural network
- expert systems
- bp neural network
- fuzzy logic
- fault detection and diagnosis
- rotating machinery
- multi sensor information fusion
- electrical power systems
- multiple faults
- power transformers
- analog circuits
- condition monitoring
- hypothesis testing
- operating conditions
- support vector
- likelihood ratio
- steady state
- class labels
- electronic equipment
- artificial neural networks
- training data
- real time