基于自适应噪声消除与自相关峭度图的行星轮轴承内圈故障诊断

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振动与冲击 ›› 2020, Vol. 39 ›› Issue (20) : 183-189.

论文

刘珍，郭瑜，伍星

作者信息 +

Fault diagnosis of planet bearing inner rings based on selfself-adaptive noise cancellation and autogram

LIU Zhen,GUO Yu,WU Xing

Author information +

文章历史 +

摘要

行星齿轮箱中，行星轮轴承故障信息往往被淹没在复杂的齿轮啮合振动及背景噪声中，另一方面，传统的快速谱峭度（Fast Kurtogram，FK）方法在包络解调共振解调频带确定上存在一定局限性，导致行星轮轴承的故障提取较为困难。为此，提出一种基于自适应噪声消除（Self-Adaptive Noise Cancelling, SANC）与自相关峭度图（Autogram）的行星轮轴承故障诊断方法。首先，通过SANC分离出轴承信号；再基于Autogram对分离出的轴承信号进行优化共振解调频带选择，结合包络分析提取行星轮轴承内圈故障特征。试验研究表明，Autogram能够克服FK等传统方法在信噪比较低情况下对优化共振解调频带选择存在的缺陷，对行星轮轴承内圈的故障特征进行有效提取。

Abstract

In planetary gearboxes, planetary bearing fault information is often submerged in complex gear meshing vibrations and background noise. On the other hand, the traditional Fast Kurtogram (FK) method has certain limitations in determination of the resonance demodulation frequency band, which makes fault extraction of planetary bearing difficult. To solve this problem, a fault diagnosis method for planetary bearings based on Self-Adaptive Noise Cancelling (SANC) and Autogram was proposed. Firstly, the bearing signal was separated by SANC; then the optimized resonance demodulation band was selected based on Autogram, and the fault feature was extracted by the envelope analysis. Experiments show that Autogram can overcome the defects of FK and other traditional methods in optimizing the resonant demodulation band under low signal-to-noise ratio, and effectively extract fault characteristic of the inner ring of a planetary bearing.

导出引用

刘珍，郭瑜，伍星. 基于自适应噪声消除与自相关峭度图的行星轮轴承内圈故障诊断[J]. 振动与冲击, 2020, 39(20): 183-189

LIU Zhen,GUO Yu,WU Xing. Fault diagnosis of planet bearing inner rings based on selfself-adaptive noise cancellation and autogram[J]. Journal of Vibration and Shock, 2020, 39(20): 183-189

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