Revised empirical wavelet transform based on auto-regressive power spectrum and its application to the mode decomposition of deployable structure

[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 .