基于EEMD的高速列车横向减振器故障的排列熵特征分析 (Permutation Entropy Fault Feature Analysis Based on Ensemble Empirical Mode Decomposition for Lateral Damper of High-speed Train).
Zhidan WuNa QinWeidong JinPublished in: 计算机科学 (2016)
Keyphrases
- empirical mode decomposition
- feature analysis
- high speed train
- non stationary
- stock market prediction
- fault diagnosis
- face recognition
- multi band
- intrinsic mode functions
- feature extraction
- random forests
- neural network
- training data
- wavelet decomposition
- training set
- linear discriminant analysis
- pattern recognition
- high speed railway
- wireless sensor networks
- eeg signals
- hilbert huang transform