基于局部线性嵌入算法的轴承振动测点分析
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1.华东交通大学轨道交通基础设施性能监测与保障国家重点实验室;2.华东交通大学机电与车辆工程学院

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TH133

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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
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East China Jiao Tong University, State Key Laboratory of Performance Monitoring and Protecting of Rail Transit Infrastructure

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    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.

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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, , ():

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  • 收稿日期:2024-03-04
  • 最后修改日期:2024-06-14
  • 录用日期:2024-07-09
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