采用自主图像处理程序的非侵入式滚动轴承保持架运动轨迹提取方法

刘逸林; 张盼; 晁奔; 闫柯; 洪军

doi:10.7652/xjtuxb202403009

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采用自主图像处理程序的非侵入式滚动轴承保持架运动轨迹提取方法

—————————————————————— | 更新时间：2025-07-09

- 采用自主图像处理程序的非侵入式滚动轴承保持架运动轨迹提取方法
- A Non-Intrusive Rolling Bearing Cage Trajectory Extraction Method Using Image Processing Program
- 西安交通大学学报 2024年58卷第3期页码：95-105
- 作者机构：
  
  西安交通大学现代设计及转子轴承系统教育部重点实验室,西安,710049
- 作者简介：
  
  : 2023-09-05。作者简介: 刘逸林(1999—),男,硕士生
  张盼(通信作者),女,博士,助理教授。基金项目: 国家自然科学基金资助项目(52175250)
- 基金信息：
  
  : 2023-09-05。作者简介: 刘逸林(1999—),男,硕士生;张盼(通信作者),女,博士,助理教授。基金项目: 国家自然科学基金资助项目(52175250);工信部重点专项资助项目(TC220H05VHZ)。
- DOI：10.7652/xjtuxb202403009
  中图分类号： TH133.3
- 网络首发：2024-03-10，
  
  纸质出版：2024
- 稿件说明：
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刘逸林, 张盼, 晁奔, 等. 采用自主图像处理程序的非侵入式滚动轴承保持架运动轨迹提取方法[J]. 西安交通大学学报, 2024,58(3):95-105.

LIU Yilin, ZHANG Pan, CHAO Ben, et al. A Non-Intrusive Rolling Bearing Cage Trajectory Extraction Method Using Image Processing Program[J]. 2024, 58(3): 95-105.
刘逸林, 张盼, 晁奔, 等. 采用自主图像处理程序的非侵入式滚动轴承保持架运动轨迹提取方法[J]. 西安交通大学学报, 2024,58(3):95-105. DOI： 10.7652/xjtuxb202403009.

LIU Yilin, ZHANG Pan, CHAO Ben, et al. A Non-Intrusive Rolling Bearing Cage Trajectory Extraction Method Using Image Processing Program[J]. 2024, 58(3): 95-105. DOI： 10.7652/xjtuxb202403009.

摘要

现有保持架质心轨迹测量方法会侵入轴承原有结构

难以反映真实的轴承动态特性; 现有的基于图像的方法虽然不会破坏轴承结构

却依赖于标记点标记精度与追踪精度

无法直接反映质心运动。针对这些问题

提出了一种基于自主图像处理程序的滚动轴承保持架运动轨迹提取方法

结合亚像素图像处理算法

在不改变轴承原有结构的基础上可以精确识别提取保持架质心轨迹。对两种不同引导方式的保持架开展了轨迹提取实验。实验结果表明

保持架轨迹受保持架与轴承内外圈结构的影响

呈现出不同形状; 在实验转速区间内

保持架运动的稳定性随着转速的升高而增大。实验结果证明了所提出的轨迹提取方法的有效性

为轴承保持架动态特性的研究提供了一种便捷、准确的测试方法

能对轴承保持架质心轨迹进行有效的提取。

Abstract

Existing methods for measuring the centroid trajectory of bearing cages often require structural modifications to the bearing

which can distort the assessment of its dynamic characteristics. In contrast

image-based methods offer a non-invasive alternative but they depend on marker precision and tracking accuracy. This can make it challenging to obtain an accurate centroid motion representation. This paper proposes a method for extracting motion trajectories for rolling bearing cages using an image processing program with a subpixel edge detection algorithm. This method accurately identifies and extracts the cage centroid's trajectories without altering the bearing's structure. Experiments are conducted on bearing cages with different guidance modes. The results show that the cage's motion trajectory is influenced by the structures of the cage as well as the inner and outer rings of the bearing

resulting in varying shapes of the trajectory. Within the range of experimental speeds

the stability of cage motion improves with the increase of rotational speed. These results confirm the effectiveness of the proposed trajectory extraction method. This paper presents a convenient and accurate testing method for investigating the dynamic characteristics of bearing cages

allowing for the effective extraction of the centroid trajectory of bearing cages.

关键词

Keywords

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