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Application of Intrinsic Mode Function Feature Energy Method in Fault Pattern Recognition of Rolling Bearing

ZHANG Tao;LU Sen-lin;ZHOU Hai-chao;SHEN Yu-gui

2011, 31 (3): 125-128. DOI: 10.3969/j.issn.1006-1355-2011.03.029

Abstract （1758）

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For nonlinear mapping relationship between vibration signal and state information in rolling bearing, a bearing feature vector extraction based on intrinsic mode function (IMF) feature energy in combination with support vector machine (SVM) is proposed for fault pattern recognition of bearing. The vibration signal of rolling bearing is decomposed into some IMF reflected bearing fault information by empirical mode decomposition(EMD), the energies including major information IMF are taken as eigenvectors. They are input into SVM classifier respectively for achieving fault recognition of rolling bearing. The normal state，outer race fault, inner race fault and rolling fault are simulated and tested. Results show that this method can recognize bearing fault effectively and accuracy.

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《Restraint Modal Analysis of Threecylinder Diesel Engine Blocks》

BAO Lin-xiao;ZUO Yan-yan;ZHOU Hai-chao

2010, 30 (3): 13-15. DOI: 10.3969/j.issn.1006-1355.2010.03.004

Abstract （2546）

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The three dimensional model of a threecylinder diesel engine block is established by using UG 5.0 software, and the modal analysis of the engine block is carried out under four different constraint conditions using Lanczos method. Through the analysis, the inherent frequencies and the modal shapes of the first 10 order modes are obtained. The results are compared one another. Based on the comparisons, it is discovered that the inherent frequencies and the corresponding vibration modes are quite different for different constraint conditions. In addition, the weak portions of the engine block vibration are found by modal analysis, and the corresponding modifications are put forward, which may provide a reference for further structural design and dynamic response analysis of the diesel engine block.