Fault Diagnosis Based on EEMD and Key Feature Representation with Separation of Stationary and Nonstationary Signals.
Feng TianChunhui ZhaoHaidong FanWeijian ZhengYouxian SunPublished in: CAA SAFEPROCESS (2019)
Keyphrases
- non stationary
- fault diagnosis
- feature representation
- empirical mode decomposition
- fault detection
- expert systems
- neural network
- fuzzy logic
- blind source separation
- feature extraction
- random fields
- face recognition
- operating conditions
- chemical process
- bp neural network
- power transformers
- multiple faults
- monitoring and fault diagnosis
- sparse representation
- autoregressive
- multi sensor information fusion
- low dimensional
- feature set
- analog circuits
- signal processing
- condition monitoring
- feature descriptors
- vibration signal
- control system
- pattern recognition