Haar小波变换在变速器齿轮故障诊断中的应用

Haar Wavelet Transform for Gear Fault Diagnosis

推导和证明了Haar小波连续小波变换时间和尺度的周期性 ,指出这种周期性可以提取出信号中的周期成分 ,并且使谐波和冲击信号在时间 -尺度域中有不同的图形特征。因此根据这些特性可以识别齿轮裂纹产生的冲击和刚度变化 。

Based on the standard Haar wavelet,the periodicity of its continuous wavelet transform,both in time and scale,was deduced and proved It can extract the periodic component and make the harmonic an d impulse signals exhibit differen t graphic features in time and sca le domaind Thus the property is ve ry suitable for the diagnosis of g ear cracking The simulation and an alysis on the gear faults of a tra nsmission prove the effectiveness and practicability of Haar wavelet transform