| 1 |
Electrostatic induced charge signal extraction based on waveform characteristic in time domain
Wang C, Jia L, Zhang S, Li YD
Powder Technology, 362, 362, 2020 |
| 2 |
An enhanced PCA-based chiller sensor fault detection method using ensemble empirical mode decomposition based denoising
Li GN, Hu YP
Energy and Buildings, 183, 311, 2019 |
| 3 |
A new chaotic time series hybrid prediction method of wind power based on EEMD-SE and full-parameters continued fraction
Wang C, Zhang HL, Fan WH, Ma P
Energy, 138, 977, 2017 |
| 4 |
Comparative study on three new hybrid models using Elman Neural Network and Empirical Mode Decomposition based technologies improved by Singular Spectrum Analysis for hour-ahead wind speed forecasting
Yu CJ, Li YL, Zhang MJ
Energy Conversion and Management, 147, 75, 2017 |
| 5 |
EEMD based pitch evaluation method for accurate grating measurement by AFM
Li CS, Yang SM, Wang CY, Jiang ZD
Applied Surface Science, 380, 274, 2016 |
| 6 |
Wind speed forecasting based on the hybrid ensemble empirical mode decomposition and GA-BP neural network method
Wang SX, Zhang N, Wu L, Wang YM
Renewable Energy, 94, 629, 2016 |
| 7 |
A hybrid forecasting approach applied to wind speed time series
Hu JM, Wang JZ, Zeng GW
Renewable Energy, 60, 185, 2013 |
| 8 |
Fault diagnosis for wind turbine planetary gearboxes via demodulation analysis based on ensemble empirical mode decomposition and energy separation
Feng ZP, Liang M, Zhang Y, Hou SM
Renewable Energy, 47, 112, 2012 |
