基于显式动力学及细化谱的滚动轴承故障诊断方法

    Fault Diagnosis of Rolling Bearings Based on Explicit Dynamics and Zoom Spectrum

    • 摘要: 为了探究滚动轴承早期故障动态演化规律, 建立了滚动轴承典型故障三维有限元动力学模型.该模型以显式算法为基础, 采用单点积分方式, 在充分考虑轴承转速、负载、接触及摩擦的条件下, 对滚动轴承内、外圈等典型故障进行了动力学分析.提取基于有限元动力学仿真的故障轴承加速度信号, 采用希尔伯特包络解调并结合细化谱分析方法, 提取故障轴承信号特征.分析结果表明:故障轴承条件下, 轴承不同位置节点的振动响应均能体现故障特征;加速度响应信号在经过细化谱分析后能找到相应故障的特征频率, 实现轴承典型故障的有效识别, 为进一步探究轴承故障传递路径特性提供了可行的方法.

       

      Abstract: To explore the dynamic evolution of early bearing failure, typical three-dimensional finite element models of 6205 bearing were established. Based on an explicit algorithm and in single-point integral manner, kinetic analysis of typical faults in inner and outer rings was conducted, considering speed, load, contact and friction conditions. The acceleration signals of defected bearings were extracted and then analyzed by Hilbert envelope demodulation and zoom spectral to extract the signal characteristics of the defected bearing. Simulation results show that under error condition, fault characteristics can be embodied from nodes in different locations of the rolling bearing; fault characteristic frequency can be found by acceleration responses with zoom spectrum. Typical faults of the rolling bearing were identified effectively and further study for bearing failure transfer-path characteristics may be feasible.

       

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