SVD principle analysis and fault diagnosis for bearings based on the correlation coefficient
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[1] M. Brenner. Non-stationary dynamics data analysis with wavelet-SVD filtering , 2003 .
[2] Liu Yun-gong. Study on noise reduction in singular value decomposition based on structural risk minimization , 2005 .
[3] Jong-Myon Kim,et al. Singular value decomposition based feature extraction approaches for classifying faults of induction motors , 2013 .
[4] Yaguo Lei,et al. Fault detection of planetary gearboxes using new diagnostic parameters , 2012 .
[5] Jiasong Mu,et al. Throat polyp detection based on compressed big data of voice with support vector machine algorithm , 2014, EURASIP Journal on Advances in Signal Processing.
[6] Carlo L. Bottasso,et al. Calibration of wind turbine lifting line models from rotor loads , 2014 .
[7] Bing Li,et al. Feature extraction for rolling element bearing fault diagnosis utilizing generalized S transform and two-dimensional non-negative matrix factorization , 2011 .
[8] Ligang Cai,et al. Roller Bearing Fault Diagnosis Based on Nonlinear Redundant Lifting Wavelet Packet Analysis , 2010, Sensors.
[9] Bernard Pottier,et al. Performance of wavelet denoising in vibration analysis: highlighting , 2012 .
[10] Magnus Sandell,et al. Singular value decomposition using an array of CORDIC processors , 2014, Signal Process..
[11] C. Harris,et al. OPTIMAL AUTOREGRESSIVE MODELLING OF A MEASURED NOISY DETERMINISTIC SIGNAL USING SINGULAR-VALUE DECOMPOSITION , 2003 .
[12] Robert B. Randall,et al. Rolling element bearing diagnostics—A tutorial , 2011 .
[13] Jin Chen,et al. Short-time matrix series based singular value decomposition for rolling bearing fault diagnosis , 2013 .
[14] Daniel Lesnic,et al. A numerical study of the SVD–MFS solution of inverse boundary value problems in two‐dimensional steady‐state linear thermoelasticity , 2015 .
[15] Yaguo Lei,et al. A review on empirical mode decomposition in fault diagnosis of rotating machinery , 2013 .
[16] Xiandong Liu,et al. NEW METHOD OF DETECTING ABRUPT INFORMATION BASED ON SINGUARITY VALUE DECOMPOSITION AND ITS APPLICATION , 2002 .
[17] Xuezhi Zhao,et al. Similarity of signal processing effect between Hankel matrix-based SVD and wavelet transform and its mechanism analysis , 2009 .
[18] Brian Mutton. Engineering Applications: 1 , 2016 .
[19] Xuezhi Zhao,et al. Selection of effective singular values using difference spectrum and its application to fault diagnosis of headstock , 2011 .
[20] Xuezhi Zhao. Difference Spectrum Theory of Singular Value and Its Application to the Fault Diagnosis of Headstock of Lathe , 2010 .
[21] Yaguo Lei,et al. Fault Diagnosis of Rotating Machinery Based on an Adaptive Ensemble Empirical Mode Decomposition , 2013, Sensors.
[22] Xianfeng Fan,et al. Machine fault feature extraction based on intrinsic mode functions , 2008 .
[23] Xie Fa. An improved method of detecting modulated gear fault characteristic based on singularity value decomposition , 2008 .
[24] Ling-Yuan Hsu,et al. Incorporation of perceptually adaptive QIM with singular value decomposition for blind audio watermarking , 2014, EURASIP J. Adv. Signal Process..
[25] Serena Morigi,et al. A truncated projected SVD method for linear discrete ill-posed problems , 2007, Numerical Algorithms.
[26] A. Barvinsky,et al. Zero modes, gauge fixing, monodromies, ζ-functions and all that , 2012, 1204.3262.
[27] Nikhil R. Pal,et al. Feature selection with SVD entropy: Some modification and extension , 2014, Inf. Sci..