基于局部线性嵌入算法的轴承振动测点分析
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

TH133.33+2

基金项目:

国家自然科学基金(52365010);江西省教育厅科学技术研究(GJJ2200603)


Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    为解决轴承信号采集时难以确定最优测点这一问题。以NU306轴承-轴承座系统为研究对象,对轴承座开展多测点振动测试实验,运用局部线性嵌入算法对轴承多维数据进行线性降维得到测点灵敏度矩阵,研究了内、外圈故障时,载荷与转速变化下最优测点位置。结果表明,对于外圈故障的轴承,转速增加时优质测点为距离故障位置最近的测点,载荷增大时优质测点为轴承座上结构刚度最小的测点;对于内圈故障的轴承,载荷和转速增大时优质测点为距离轴承座中心远且载荷较小的测点。结果可为不同工况下的测点选择提供有效参考。

    Abstract:

    In order to solve the problem of difficulty in determining the optimal measurement points for bearing signal acquisition. Taking the NU306 bearing-housing system as the research object, the bearing housing to carry out multi-measurement points vibration test experiment. The local linear embedding algorithm is used to linearly reduce the multi-dimensional space data of the bearings to obtain the sensitivity matrix of the measurement point. The optimal position of the measuring point under varying load and rotation speed is studied when the inner or outer ring are defective. The results show that for bearings with outer ring failures, the optimal measurement point is the one closest to the location of the failure when the rotational speed increases, and the optimal measurement point is the one with the lowest structural stiffness on the bearing housing when the load increases. For bearings with inner ring failures, the optimal measurement point is the one at lower loads far from the centre of the housing when the load or rotational speed increases. The results of this paper can provide an effective reference for the selection of measurement points under different operating conditions.

    参考文献
    相似文献
    引证文献
引用本文

罗丫,葛可可,袁晓文,等. 基于局部线性嵌入算法的轴承振动测点分析[J]. 科学技术与工程, 2025, 25(6): 2356-2363.
Luo Ya, Ge Keke, Yuan Xiaowen, et al. Analysis of Bearing Vibration Measuring Points Based on Locally Linear Embedding Algorithm[J]. Science Technology and Engineering,2025,25(6):2356-2363.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:2024-03-04
  • 最后修改日期:2025-02-19
  • 录用日期:2024-07-09
  • 在线发布日期: 2025-03-06
  • 出版日期: