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基于总体最小二乘法的工况传递路径分析

桂俊涛 樊晓波 满石林 吴凇

桂俊涛, 樊晓波, 满石林, 等. 基于总体最小二乘法的工况传递路径分析[J]. 水下无人系统学报, xxxx, x(x): x-xx doi: 10.11993/j.issn.2096-3920.2025-0024
引用本文: 桂俊涛, 樊晓波, 满石林, 等. 基于总体最小二乘法的工况传递路径分析[J]. 水下无人系统学报, xxxx, x(x): x-xx doi: 10.11993/j.issn.2096-3920.2025-0024
GUI Juntao, FAN Xiaobo, MAN Shilin, WU Song. Operational transfer path analysis with total least-squares method[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0024
Citation: GUI Juntao, FAN Xiaobo, MAN Shilin, WU Song. Operational transfer path analysis with total least-squares method[J]. Journal of Unmanned Undersea Systems. doi: 10.11993/j.issn.2096-3920.2025-0024

基于总体最小二乘法的工况传递路径分析

doi: 10.11993/j.issn.2096-3920.2025-0024
详细信息
    作者简介:

    桂俊涛, 男, 硕士, 工程师, 主要研究方向为振动噪声控制

  • 中图分类号: TJ630; U661.44

Operational transfer path analysis with total least-squares method

  • 摘要: 工况传递路径分析(OTPA)通过不同工况下的响应数据, 实现对振动噪声的分解和预测, 因此广泛应用于各类工程领域中。但振动噪声的响应数据不可避免包含误差, 严重影响OTPA的准确性。为减小误差的影响及提高传递率函数矩阵的准确性, 采用总体最小二乘法来估计传递率函数矩阵, 再进行OTPA。相较传统方法, 总体最小二乘法同时考虑了目标点与指示点数据的误差。在数值模型与测试模型中开OTPA, 分别应用最小二乘模型和总体最小二乘模型获取各路经贡献量。仿真结果显示总体最小二乘法识别的贡献量与经典传递路径分析贡献量吻合度更高, 表明相比正则化最小二乘法, 总体最小二乘法在OTPA中适用性更好, 有效提高了OTPA的准确度。

     

  • 图  1  主被动线性系统

    Figure  1.  Active and passive linear systems

    图  2  九自由度模型

    Figure  2.  The nine-degree-of-freedom model system

    图  3  拆解九自由度模型

    Figure  3.  The split nine-degree-of-freedom model system

    图  4  合成响应对比

    Figure  4.  Comparison of synthetic responses

    图  5  路径35贡献量对比

    Figure  5.  Comparison of Contribution of Path 35

    图  6  路径46贡献量对比

    Figure  6.  Comparison of contribution of path 46

    图  7  路径78贡献量对比

    Figure  7.  Comparison of contribution of path 78

    图  8  实验装置

    Figure  8.  The experimental setup

    图  9  频响函数HyaHyb

    Figure  9.  The FRF Hya and Hyb

    图  10  TPA合成响应与实测响应对比

    Figure  10.  The Comparison of TPA synthetic response and test response

    图  11  O-RLS合成响应与实测响应对比

    Figure  11.  Comparison of o-rls synthetic response and test response

    图  12  O-TLS合成响应与实测响应对比

    Figure  12.  Comparison of o-tls synthetic response and measured response

    图  13  路径1贡献量

    Figure  13.  The individual contribution of path 1

    图  14  路径2贡献量

    Figure  14.  The individual contribution of path 2

    图  15  路径贡献量云图

    Figure  15.  Path contribution cloud chart

    图  16  FRAC值对比

    Figure  16.  The comparison of FRAC value

    表  1  九自由度模型参数列表

    Table  1.   Parameter list of the 9-DOF model

    参数类型 参数标识及数值 单位
    质量 M1=2; M2=1; M3=5.5; M4=3; M5=6;
    M6=8; M7=2.5; M8=3.5; M9=4;
    kg
    刚度 K01=0.1; K12=0.4; K17=0.5; K23=0.35;
    K24=0.15; K35=0.13; K46=0.6; K59=0.27;
    K69=0.39; K78=0.48; K89=0.29;
    kN/mm
    阻尼 C01=1.1; C12=3.6; C17=6.2; C23=4.5;
    C24=9.0; C35=8.3; C46=11.3; C59=14;
    C69=16.3; C78=5.2; C89=7.0;
    kg/s
    下载: 导出CSV

    表  2  实验仪器参数表

    Table  2.   Experimental Instrument parameters

    仪器数量标称灵敏度采样频率/Hz
    B&K加速度计(4524 B)3100 mv/g0.25 ~3 000
    CL-YD力传感器23.25 N/Pc1 000
    JZK-2 激振器1-15 000
    JZK-20 激振器1-2 000
    B&K数据采集处理系统1-25 600
    下载: 导出CSV

    表  3  实验工况

    Table  3.   Experimental conditions

    工况点A激励点B激励
    1随机随机
    2随机正弦扫频
    3正弦扫频随机
    4正弦扫频正弦扫频
    下载: 导出CSV
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出版历程
  • 收稿日期:  2025-02-13
  • 修回日期:  2025-09-02
  • 录用日期:  2025-09-08
  • 网络出版日期:  2026-03-27
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