Fault Diagnosis for Rail Vehicle Axle-Box Bearings Based on Energy Feature Reconstruction and Composite Multiscale Permutation Entropy.
Xiaochao WangZhenggang LuJuyao WeiYuan ZhangPublished in: Entropy (2019)
Keyphrases
- fault diagnosis
- multiscale
- condition monitoring
- expert systems
- fault detection
- neural network
- chemical process
- bp neural network
- operating conditions
- rbf neural network
- multi sensor information fusion
- electronic equipment
- fault detection and diagnosis
- multiple faults
- monitoring and fault diagnosis
- analog circuits
- power transformers
- gas turbine
- fuzzy logic
- wavelet transform
- fault identification
- electrical power systems
- real time
- feature vectors
- image processing
- rotating machinery
- failure diagnosis
- fault detection and isolation
- high resolution
- industrial systems
- data mining
- multiresolution