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Research of Rolling Bearings Fault Diagnosis
CHEN Yong-hui;JIANG Xu;ZHANG Xue-liang;LI Hai-hong
   2011, 31 (5): 133-136.   DOI: 10.3969/j.issn.1006-1355-2011.05.031
Abstract2009)            Save
For the non-stationary and modulation features of rolling bearing’s fault signals, a method based on wavelet analysis is employed. The signals including fault information are decomposed and reconstructed by wavelet analysis method. Then, demodulation and fine spectral analysis of the signals are carried out by using Hilbert transform. The characteristic frequencies of the fault signals are extracted, and the fault patterns of the rolling bearings can be recognized. It is found that the wavelet analysis and Hilbert transform are effective in identifying the local defects of rolling bearings.
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《Study on Impulse Response of Nonlinear System of Mobile Hard Disk with Rubber Isolator》
BAN Shu-hao;LI Xiao-yan;JIANG Xue-dong;YAN Guo-xin
   2009, 29 (5): 16-18.   DOI: 10.3969/j.issn.1006-1355.2009.05.005
Abstract3067)      PDF(pc) (1010KB)(1171)       Save

Employing the frequency hardening coefficient in the nonlinear dynamic system consisting of mobile hard disks with rubber isolator, a set of nonlinear differential equations for this system is established. The corresponding model for numerical simulation is constructed. The dynamic responses for different pulse durations and pulse magnitudes of acceleration are computed with this model. The influences of pulse signal parameters on the isolation effect are analyzed and discussed. Theoretical analysis and numerical simulation show that the model presented here is more reasonable than the traditional linear dynamic model. Furthermore, this model is simple and convenience for tation. It can be used to determine the natural frequencies of nonlinear vibration-tion system effectively.

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