基于稳健全息阶比谱提取微弱故障特征

提出了一种稳健全息阶比谱方法，用于提取变速器变速过程的微弱故障特征。首先分析了转速波动对传统阶比方法分析精度的影响，构造了基于转速调整的改进阶比方法，对水平与垂直方向加速过程信号的改进阶比谱进行全息分析，构成稳健全息阶比谱，并与单测点改进阶比谱结果对比。试验表明，改进阶比谱能有效抑制转速波动对等角度采样的影响，提高了阶比谱分析精度，有效增强了全息阶比谱的稳健性；相对于任一方向单测点阶比谱，稳健全息阶比谱既能分析变速过程信号，又能融合多点信息，其量化参数能更准确评价诊断对象的技术状态，证明稳健全息阶比谱是一种全面、可靠提取变速过程微弱故障特征的有效方法。

Weak fault characteristic extraction based on steady holographic-order spectrum

A steady holographic-order spectrum method was presented and used to extract weak fault characteristics of speed-varying signal of a gear box.Firstly,the influence of rotating speed fluctuation on the precision of the traditional order method was analyzed,and an improved order method based on rotating speed adjustment was constructed,the improved order spectrum of horizontal and vertical speed-varying signals was analyzed with the holographic spectrum,a steady holographic-order spectrum was constructed,and compared to the traditional order analysis result of a single test point’s signal.Test results showed that the improved order spectrum can restrain the influence of rotating speed fluctuation on the equal angle sampling and improve the precision of order analysis,so the steadiness of holographic-order spectrum is enhanced efficiently;compared with order spectrum of a single measurement point in horizontal or vertical direction,the steady holographic-order spectrum can be used not only to analyze a speed-varying signal,but also fuse the information of different points,and the steady holographic-order spectrum’s quantified parameters can estimate the technical status of the object to be diagnosed more accurately.It was proved that the steady holographic-order spectrum is an effective method to extract weak fault characteristics in a speed-varying signal.