局域均值分解和1．5维谱在机械故障诊断中的应用

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Aiming at signal,a mechanical fault posed. In this ber of product approac nonlinear, diag MD nosls non―stationary characteristics of method combining LMD and 1.5 a mechanical ure vibration dimensional spectrum w method was applied to decompose the original sig functions（PFs） ,then the PFs containing fault information were mension spectrum to extract the pressing Gaussian white noise, d characteristics. This method was endowed with et simulation signals and engineering ecting the examples nonlinear coupling feature. The nals into a rink analyzed with characteristics mthod was veri of mechanical fault diagnosis effectively as pro e num 1.5 di of sup fied针对机械故障振动信号的非线性、非平稳特征，提出了局域均值分解和1．5维谱相结合的机械故障诊断方法。该方法首先对信号进行局域均值分解，将其分解为若干个PF分量之和，然后运用1．5维谱方法对含有故障特征信息的PF分量进行特征提取。该方法具有抑制高斯白噪声、检测非线性耦合特征等特性。仿真信号与机械故障诊断工程实例的分析验证了该方法的有效性。