A rotating machinery fault diagnosis method based on local mean decomposition

Digital Signal Processing - Tập 22 - Trang 356-366 - 2012
Junsheng Cheng1,2, Yi Yang1,2, Yu Yang1,2
1State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha 410082, PR China
2College of Mechanical and Vehicle Engineering, Hunan University, Changsha 410082, PR China

Tài liệu tham khảo

Baydar, 2003, Detection of gear failures via vibration and acoustics signals using wavelet transform, Mech. Syst. Signal Process., 17, 787, 10.1006/mssp.2001.1435 Zheng, 2002, Gear fault diagnosis based on continuous wavelet transform, Mech. Syst. Signal Process., 16, 447, 10.1006/mssp.2002.1482 Cohen, 1989, Time–frequency distribution – a review, Proc. IEEE, 77, 941, 10.1109/5.30749 Mallat, 1989, A theory for multi-resolution decomposition, the wavelet representation, IEEE Trans. Pattern Anal. Mach. Intell., 11, 674, 10.1109/34.192463 Peng, 1989, Application of the wavelet transforms in machine condition monitoring and fault diagnostics: a review with bibliography, Mech. Syst. Signal Process., 18, 199, 10.1016/S0888-3270(03)00075-X Olhede, 2004, The Hilbert spectrum via wavelet projections, Proc. R. Soc. Lond., 460, 955, 10.1098/rspa.2003.1199 Huang, 1998, The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis, Proc. R. Soc. Lond., 454, 903, 10.1098/rspa.1998.0193 Huang, 1999, A new view of nonlinear water waves: the Hilbert spectrum, Annu. Rev. Fluid Mech., 31, 417, 10.1146/annurev.fluid.31.1.417 Cheng, 2004, Energy operator demodulating approach based on EMD and its application in mechanical fault diagnosis, Chinese J. Mech. Engrg., 40, 115, 10.3901/JME.2004.08.115 Loh, 2001, Application of the empirical mode decomposition – Hilbert spectrum method to identify near-fault ground-motion characteristics and structural response, Bull. Seismol. Soc. Amer., 91, 1339, 10.1785/0120000715 Datig, 2004, Performance and limitations of the Hilbert–Huang transformation (HHT) with an application to irregular water waves, Ocean Engrg., 31, 1783, 10.1016/j.oceaneng.2004.03.007 Cheng, 2007, Application of support vector regression machines to the processing of end effects of Hilbert–Huang transform, Mech. Syst. Signal Process., 21, 1197, 10.1016/j.ymssp.2005.09.005 Huang, 2003, A confidence limit for the empirical mode decomposition and Hilbert spectral analysis, Proc. R. Soc. Lond. A, 459, 2317, 10.1098/rspa.2003.1123 Cheng, 2006, Research on the intrinsic mode function (IMF) criterion in EMD method, Mech. Syst. Signal Process., 20, 817, 10.1016/j.ymssp.2005.09.011 Qin, 2006, A new algorithm of Hilbert–Huang transform, Mech. Syst. Signal Process., 20, 1941, 10.1016/j.ymssp.2005.07.002 Smith, 2005, The local mean decomposition and its application to EEG perception data, J. R. Soc. Interface, 2, 443, 10.1098/rsif.2005.0058 McFadden, 1986, Detecting fatigue cracks in gear by amplitude and phase demodulation of the meshing vibration, ASME J. Vib. Acoust. Stress Reliab. Des., 108, 165, 10.1115/1.3269317 Radcliff, 1990, Condition monitoring of rolling element bearings using the enveloping technique, 55 Yang, 2006, A roller bearing fault diagnosis method based on EMD energy entropy and ANN, J. Sound Vib., 294, 269, 10.1016/j.jsv.2005.11.002