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中文摘要：
根据旋转机械碰摩故障的特征频率，利用小波变换多分辨率特性，提取碰摩故障特征信号；利用支持向量机原理解决小样本、非线性、高维模式识别问题的优势，建立支持向量机故障诊断模型，进行旋转机械碰摩故障诊断。仿真结果表明，该算法有较好的精度和泛化性，并且运算量小，非常适合旋转机械故障诊断的在线识别。
英文摘要：
According to the characteristic frequency of rotating machinery rub - impact fault, the acquisition of fault charaeteristie signal can be obtained by multi - resolution characteristics of wavelet transformation. Further more, as the advantages of support vector machine in sol - ving small samples, non - linearity and higher - dimension pattem recognition problem, fault diagnosis model with support vector machine is established. The simulation results prove that this method is accurate and can be spread, suitable for on- line identification.
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Synchronization of two non-identical coupled exciters in a non-resonant vibrating system of linear m
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