Pseudo-fault signal assisted EMD for fault detection and isolation in rotating machines
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[1] Eric Bechhoefer,et al. Bearing envelope analysis window selection Using spectral kurtosis techniques , 2011, 2011 IEEE Conference on Prognostics and Health Management.
[2] S. Law,et al. Identification of linear time-varying dynamical systems using hilbert transform and empirical mode decomposition method , 2007 .
[3] James F. Kaiser,et al. The use of a masking signal to improve empirical mode decomposition , 2005, Proceedings. (ICASSP '05). IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005..
[4] Hai Qiu,et al. Wavelet filter-based weak signature detection method and its application on rolling element bearing prognostics , 2006 .
[5] N. Huang,et al. System identification of linear structures based on Hilbert–Huang spectral analysis. Part 1: normal modes , 2003 .
[6] Yi Yang,et al. A rotating machinery fault diagnosis method based on local mean decomposition , 2012, Digit. Signal Process..
[7] S. J. Loutridis,et al. Damage detection in gear systems using empirical mode decomposition , 2004 .
[8] Niels Kjølstad Poulsen,et al. Active fault diagnosis in closed-loop systems , 2005 .
[9] Hong Fan,et al. Rotating machine fault diagnosis using empirical mode decomposition , 2008 .
[10] Stephen L. Campbell,et al. Auxiliary signal design for rapid multi-model identification using optimization , 2002, Autom..
[11] Cheng Junsheng,et al. Research on the intrinsic mode function (IMF) criterion in EMD method , 2006 .
[12] Li Yibo,et al. Research on rub impact fault diagnosis method of rotating machinery based on EMD and SVM , 2009, 2009 International Conference on Mechatronics and Automation.
[13] Gabriel Rilling,et al. Empirical mode decomposition as a filter bank , 2004, IEEE Signal Processing Letters.
[14] Jinde Zheng,et al. Generalized empirical mode decomposition and its applications to rolling element bearing fault diagnosis , 2013 .
[15] Danilo P. Mandic,et al. Filter Bank Property of Multivariate Empirical Mode Decomposition , 2011, IEEE Transactions on Signal Processing.
[16] Zhi-Yong Tao,et al. Local Integral Mean-Based Sifting for Empirical Mode Decomposition , 2009, IEEE Signal Processing Letters.
[17] Toshihisa Tanaka,et al. Complex Empirical Mode Decomposition , 2007, IEEE Signal Processing Letters.
[18] Robert X. Gao,et al. Multi-scale enveloping order spectrogram for rotating machine health diagnosis , 2014 .
[19] François Delebecque,et al. Detection signal design for failure detection: a robust approach , 2000 .
[20] Yuesheng Xu,et al. A B-spline approach for empirical mode decompositions , 2006, Adv. Comput. Math..
[21] Lin Ma,et al. Fault diagnosis of rolling element bearings using basis pursuit , 2005 .
[22] Danilo P. Mandic,et al. Emd via mEMD: multivariate noise-Aided Computation of Standard EMD , 2013, Adv. Data Sci. Adapt. Anal..
[23] Robert X. Gao,et al. Rotary Machine Health Diagnosis Based on Empirical Mode Decomposition , 2008 .
[24] Darryll J. Pines,et al. Structural health monitoring using empirical mode decomposition and the Hilbert phase , 2006 .
[25] Paolo Pennacchi,et al. Diagnostics of gear faults based on EMD and automatic selection of intrinsic mode functions , 2011 .
[26] Norden E. Huang,et al. Ensemble Empirical Mode Decomposition: a Noise-Assisted Data Analysis Method , 2009, Adv. Data Sci. Adapt. Anal..
[27] Shih-Fu Ling,et al. Bearing failure detection using matching pursuit , 2002 .
[28] R. Randall,et al. OPTIMISATION OF BEARING DIAGNOSTIC TECHNIQUES USING SIMULATED AND ACTUAL BEARING FAULT SIGNALS , 2000 .
[29] Robert B. Randall,et al. Vibration-based Condition Monitoring: Industrial, Aerospace and Automotive Applications , 2011 .
[30] Gabriel Rilling,et al. Bivariate Empirical Mode Decomposition , 2007, IEEE Signal Processing Letters.
[31] Robert X. Gao,et al. Multi-scale enveloping spectrogram for vibration analysis in bearing defect diagnosis , 2009 .
[32] Dejie Yu,et al. Application of EMD method and Hilbert spectrum to the fault diagnosis of roller bearings , 2005 .
[33] S. A. McInerny,et al. Basic vibration signal processing for bearing fault detection , 2003, IEEE Trans. Educ..
[34] Abdel-Ouahab Boudraa,et al. EMD-Based Signal Filtering , 2007, IEEE Transactions on Instrumentation and Measurement.
[35] 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.
[36] M. Zarrop,et al. Input design for detection of abrupt changes in dynamical systems , 1994 .
[37] Muhammad Altaf,et al. Rotation Invariant Complex Empirical Mode Decomposition , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[38] Xue Jun Zhang,et al. Auxiliary Signal Design in Fault Detection and Diagnosis , 1989 .
[39] Wei-Xin Ren,et al. EMD-based stochastic subspace identification of structures from operational vibration measurements , 2005 .
[40] Qing Zhao,et al. Maximum correlated Kurtosis deconvolution and application on gear tooth chip fault detection , 2012 .
[41] D. P. Mandic,et al. Multivariate empirical mode decomposition , 2010, Proceedings of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[42] Sangjin Cho,et al. Identification of significant intrinsic mode functions for the diagnosis of induction motor fault. , 2014, The Journal of the Acoustical Society of America.
[43] Stephen L. Campbell,et al. An active approach for detection of incipient faults , 2010, Int. J. Syst. Sci..