Journal of Shanghai Jiaotong University ›› 2014, Vol. 48 ›› Issue (1): 39-44.
• Mechanical instrumentation engineering • Previous Articles Next Articles
Received:
2012-12-28
CLC Number:
TIAN Fuqing1,LUO Rong1,LI Wan2,XIE Yong1. Improved Harmonic Wavelet Packet Kurtogram and Its Application[J]. Journal of Shanghai Jiaotong University, 2014, 48(1): 39-44.
[1]Newland D E. Ridge and phase identification in the frequency analysis of transient signals by harmonic wavelets [J]. Journal of Vibration and Acoustics, 1999, 121(2): 149155. [2]李舜酩.谐波小波包方法及其对转子亚频轴心轨迹的提取[J]. 机械工程学报, 2004, 40(9): 133136. LI Shunming. Harmonic wavelet packet method and used on accurate obtaining the orbit of rotor subfrequency signal [J].Chinese Journal of Mechanical Engineering, 2004, 40(9): 133136. [3]张文斌,周晓军,林勇,等. 基于谐波小波包方法的旋转机械故障信号提取[J]. 振动与冲击, 2009, 28(3): 8789. ZHANG Wenbin, ZHOU Xiaojun, LIN Yong, et al. Harmonic wavelet package method used to extract fault signal of a rotation machinery [J]. Journal of Vibration and Shock, 2009, 28(3): 8789. [4]Nikolaou N G, Atoniadis I A. Demodulation of vibration signals generated by defects in rolling element bearings using complex shifted morlet wavelets [J]. Mechanical Systems and Signal Processing, 2002, 16(4): 677694. [5]Antoni J. The spectral kurtosis: An useful tool for characterizing nonstationary signals [J]. Mechanical Systems and Signal Processing, 2006, 20(2): 282307. [6]Jin L, Liangsheng Q U. Feature extraction based on morlet wavelet and its application for mechanical fault diagnosis [J]. Sound and Vibration, 2000, 234(1): 135148. [7]Bozchalooi I S, Liang M. A smoothness indexguided approach to wavelet parameter selection in signal denoising and fault detection [J]. Journal of Sound and Vibration, 2007, 308(12): 246267. [8]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): 308331. [9]Antoni J. Fast computation of the kurtogram for the detection of transient faults [J]. Mechanical Systems and Signal Processing, 2007, 21(1): 108124. [10]Sawalhi N, Randall R B. Spectral kurtosis optimization for rolling element bearings [C]∥Signal Processing and Its Applications. Sydney: Proceedings of the Eighth International Symposium, 2005: 839842. |
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