Revised empirical wavelet transform based on auto-regressive power spectrum and its application to the mode decomposition of deployable structure
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Shaoze Yan | Tao Liu | Zhijun Luo | Mengbo Qian | Shaoze Yan | Zhijun Luo | Tao Liu | Mengbo Qian
[1] Minqing Wang,et al. An Enhanced Empirical Wavelet Transform for Features Extraction from Wind Turbine Condition Monitoring Signals , 2017 .
[2] B. Merainani,et al. Early detection of tooth crack damage in gearbox using empirical wavelet transform combined by Hilbert transform , 2017 .
[3] Hongguang Li,et al. An enhanced empirical wavelet transform for noisy and non-stationary signal processing , 2017, Digit. Signal Process..
[4] Haiyang Pan,et al. Adaptive parameterless empirical wavelet transform based time-frequency analysis method and its application to rotor rubbing fault diagnosis , 2017, Signal Process..
[5] Pradip Sircar,et al. A novel approach for automated detection of focal EEG signals using empirical wavelet transform , 2016, Neural Computing and Applications.
[6] Zhixiong Li,et al. A new compound faults detection method for rolling bearings based on empirical wavelet transform and chaotic oscillator , 2016 .
[7] Wei Zhang,et al. Time–frequency analysis of nonstationary vibration signals for deployable structures by using the constant-Q nonstationary gabor transform , 2016 .
[8] Jinglong Chen,et al. Mono-component feature extraction for mechanical fault diagnosis using modified empirical wavelet transform via data-driven adaptive Fourier spectrum segment , 2016 .
[9] Reza Tarinejad,et al. Extended FDD-WT method based on correcting the errors due to non-synchronous sensing of sensors , 2016 .
[10] Yanyang Zi,et al. Generator bearing fault diagnosis for wind turbine via empirical wavelet transform using measured vibration signals , 2016 .
[11] Zhengjia He,et al. Wheel-bearing fault diagnosis of trains using empirical wavelet transform , 2016 .
[12] Wei Liu,et al. Seismic Time–Frequency Analysis via Empirical Wavelet Transform , 2016, IEEE Geoscience and Remote Sensing Letters.
[13] Jianzhou Wang,et al. Short-term wind speed prediction using empirical wavelet transform and Gaussian process regression , 2015 .
[14] Sang-Heon Lee,et al. Machinery Fault Diagnosis Using Two-Channel Analysis Method Based on Fictitious System Frequency Response Function , 2015 .
[15] Hojjat Adeli,et al. A new music-empirical wavelet transform methodology for time-frequency analysis of noisy nonlinear and non-stationary signals , 2015, Digit. Signal Process..
[16] Indu Saini,et al. Empirical Wavelet Transform Based ECG Signal Compression , 2014 .
[17] Shaoze Yan,et al. Thermally induced vibration of composite solar array with honeycomb panels in low earth orbit , 2014 .
[18] Reza Tarinejad,et al. Modal identification of structures by a novel approach based on FDD-wavelet method , 2014 .
[19] Stanley Osher,et al. Empirical Transforms . Wavelets , Ridgelets and Curvelets revisited , 2013 .
[20] Kathryn Heal,et al. A parameterless scale-space approach to find meaningful modes in histograms - Application to image and spectrum segmentation , 2014, Int. J. Wavelets Multiresolution Inf. Process..
[21] Jérôme Gilles,et al. Empirical Wavelet Transform , 2013, IEEE Transactions on Signal Processing.
[22] Fulei Chu,et al. Ensemble Empirical Mode Decomposition-Based Teager Energy Spectrum for Bearing Fault Diagnosis , 2013 .
[23] Qingbo He. Vibration signal classification by wavelet packet energy flow manifold learning , 2013 .
[24] Patrick Flandrin,et al. A complete ensemble empirical mode decomposition with adaptive noise , 2011, 2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP).
[25] Ying Zhang,et al. MUSIC-Like DOA Estimation Without Estimating the Number of Sources , 2010, IEEE Transactions on Signal Processing.
[26] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[27] Shaoze Yan,et al. A revised Hilbert–Huang transformation based on the neural networks and its application in vibration signal analysis of a deployable structure , 2008 .
[28] Gabriel Rilling,et al. One or Two Frequencies? The Empirical Mode Decomposition Answers , 2008, IEEE Transactions on Signal Processing.
[29] J. Cadzow. Maximum Entropy Spectral Analysis , 2006 .
[30] Yan Shaoze. A wavelet transform based analysis of vibration signals from a solar array with clearance , 2006 .
[31] J. W. Sills. Modal parameter determination for a flexible solar array mast under pre-load and variable tip masses , 2000 .
[32] N. Huang,et al. The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.
[33] C. Foster,et al. Solar-array-induced disturbance of the Hubble Space Telescope pointing system , 1995 .
[34] C. Winslow. Space Station Freedom solar array design development , 1993, IEEE Aerospace and Electronic Systems Magazine.
[35] E. A. Thornton,et al. Thermal-structural analysis of large space structures - An assessment of recent advances , 1985 .