HU Hong-ying, MA Xiao-jing. Signal denoising based on local-wave decomposing method [ J ]. Journal of Agricultural Machinery, 2006, 37 (1): 118-120. ( in Chinese)
CAI Yan-ping, LI Ai-hua, SHI Lin-suo, et al. Roller bearingfault detection using improved envelope spectrum anlysis based on EMD and spectrum kurtosis[J]. Journal of Vibration and Shock, 2011, 30 (2): 168-172. ( in Chinese)
LIANG Xian-ya, SHA Yun-dong, LUAN Xiao-chi, et al. Fault diagnosis of aero-engine main shaft bearings based on envelop spectrum analysis [ J ]. Journal of Shenyang Aerospace University, 2013, 30 ( 4 ): 19-22. ( in Chinese)
[7]
PENG Z K, CHU F L. Application of the wavelet transform in machine condition monitoringand fault diagno-stics: a review with bibliography [ J ]. Mechanical Systemsand Signal Processing, 2004, 18(2): 199-221.
ZHOU Xiao-yong, YE Yin-zhong. Application of wavelet analysis to fault diagnosis [ J]. Control Engineering of China, 2006, 13(1): 71-73. (in Chinese)
[12]
ANTONI J. The spectral kurtosis: a useful tool for characterising nonstationary signals [ J ]. Mechanical Systems and Signal Processing, 2006, 20(2): 282-307.
[13]
ANTONI J, RANDALL R B. The spectral kurtosis: application to the vibratory surveillance and diagnostics of rotating machines [ J]. Mechanical Systems and Signal Processing, 2006, 20(2): 308-331.
ZHAO Zhi-hong, YANG Shao-pu, SHEN Yong-jun. Machinery fault feature extraction based on independent component analysis and correlation coefficient[J]. Journal of Vibration and Shock, 2013, 32 ( 6 ): 68-71. ( in Chinese)
[17]
吕跃刚, 陈盼娣, 李雨田. 基于EMD 和Hilbert 包络解调的滚动轴承故障诊断方法研究[J]. 煤矿机械,2013, 34(11): 281-282. LYue-gang, CHEN Pan-di, LI Yu-tian. Research on rolling bearing diagnosis method based on analysis of
[18]
EMD and Hilbert envelope[J]. Coal Mine Machinery,2013, 34(11): 281-282. (in Chinese)
XU Xiao-gang, XU Guan-lei, WANG Xiao-tong, et al.Empirical mode decomposition and its application [ J].Acta Electronica Sinica, 2009, 3 (37): 582-585. (in Chinese)
[21]
RAI V K, MOHANTY A R. Bearing fault diagnosis using FFT of intrinsic mode functions in Hilbert-Huang trans-form[ J]. Mechanical Systems and Signal Processing,2007, 21(6): 2607-2615.