Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition.
Yaguo LeiNaipeng LiJing LinSizhe WangPublished in: Sensors (2013)
Keyphrases
- rotating machinery
- empirical mode decomposition
- fault diagnosis
- neural network
- non stationary
- fault detection
- expert systems
- wavelet decomposition
- bp neural network
- fault detection and diagnosis
- power transformers
- analog circuits
- fuzzy logic
- intrinsic mode functions
- multi band
- chemical process
- hilbert huang transform
- monitoring and fault diagnosis
- electronic equipment
- gas turbine
- multiple faults
- instantaneous frequency
- multi sensor information fusion
- operating conditions
- artificial intelligence
- fuzzy sets
- feature vectors
- training set
- feature space
- pattern recognition
- decision making
- feature selection