Volterra核函数在齿轮裂纹故障识别上的应用

针对非线性条件下齿轮裂纹故障信号微弱以及受输入量变化的影响,进而给故障精准度带来的严峻考验,提出利用二阶Volterra核函数从系统整体角度分析裂纹故障与非线性因素变化之间的内在联系。利用时间序列辨识齿轮裂纹故障二阶Volterra核函数,分析谱图中反映齿轮运行状态的非线性信息。结果表明:二阶Volterra核函数考虑了输入因素对系统诊断精度的影响,对齿轮箱因工况改变而引起的非线性因素的变化反映十分敏感,从而解决了传统齿轮边频带故障诊断理论的模糊性和不确定性问题,可以将其应用于齿轮裂纹故障诊断。

Application of Volterra kernel function in gear crack failure diagnosis

Against the weak vibration signal of gear crack fault and the input variation under nonlinear condition,which challenge fault diagnosis＇ accuracy,we proposed a whole system method that used 2nd order Volterra kernel function to analyze the inner contact between crack fault and nonlinear change.After identifying kernel function with time series,we analyzed the nonlinear information indicated in frequency spectrum.Analysis results show that gear crack 2nd order kernel function,taking into consideration the influence on diagnosis accuracy caused by input elements,is sensitive to nonlinear changes caused by fault condition,and has solved the fuzziness and the indeterminacy problems caused by traditional gear sideband theory,thus presenting its application foreground in gearbox nonlinear fault diagnosis.