【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。更多还原

【Abstract】 According to the characteristic frequency of rotating machinery rub-impact fault,the acquisition of fault characteristic signal can be obtained by multi-resolution characteristics of wavelet transformation.Further more,as the advantages of support vector machine in solving small samples,non-linearity and higher-dimension pattern 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.更多还原