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Nonlinear dynamic analysis of high speed bearings due to combined localized defects

机译:组合局部缺陷引起的高速轴承非线性动力学分析

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In this paper, the dynamic behavior of a high-speed rotating shaft under the combined localized defects on outer race, inner race and rolling element has been analyzed. An adaptive algorithm based on wavelet packet decomposition and Hilbert transform is used to extract the bearing fault characteristic component from the vibration signals. The reverse Biorthogonal wavelet 5.5 is considered as the most appropriate wavelet for decomposing the bearing vibration signal, on the basis of the maximum energy-to-Shannon entropy ratio criterion. The imperial trend suggested in diagnosing the combined localized defects of rolling bearing is based on experimental analysis at various rotor speeds. The results are presented in the form of envelope analysis, bifurcation diagrams and Poincaré maps that show the appearance non- linearity in the dynamic response due to the rotor speed and the presence of combined localized defect. Significant peaks are reported at BPFO, BSF, FTF and modulation of BPFI with rotational frequency in envelope spectrum. Fundamental train frequency also shows noticeable excitation. A modified mathematical model shows good agreement with experi- mental results.
机译:本文分析了高速旋转轴在外圈,内圈和滚动体上组合局部缺陷的动力学行为。基于小波包分解和希尔伯特变换的自适应算法用于从振动信号中提取轴承故障特征分量。根据最大能量与香农熵之比的标准,反向双正交子波5.5被认为是分解轴承振动信号的最合适子波。诊断滚动轴承组合局部缺陷的帝国趋势是基于各种转子转速下的实验分析。结果以包络分析,分叉图和庞加莱图的形式表示,这些图显示了由于转子速度和组合局部缺陷的存在而导致的动态响应中的外观非线性。 BPFO,BSF,FTF和BPFI随包络谱中旋转频率的调制出现了明显的峰。基本列车频率也显示出明显的激励。修改后的数学模型显示出与实验结果的良好一致性。

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