AEROSPACE SHANGHAI, Volume. 42, Issue 2, 177(2025)

Research on Rapid Modal Frequency Prediction and Structural Fault Localization for Slender Body Aircraft

Yizhe SHEN, Junkai JIA, Xiaoming SHI, Yuliu LI, and Zhou HUA*
Author Affiliations
  • Shanghai Electro-Mechanical Engineering Institute,Shanghai201109,China
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    Figures & Tables(12)
    Flow chart for modal frequency prediction and structural fault localization
    Network structure of the frequency prediction model
    Main design parameters influencing the modal frequencies of a slender body aircraft
    Process for solving structural fault localization problems
    Comparison of the predicted and expected output of the first-order mode frequencies
    Linear regression graph of the prediction results for future products
    The modal experiment
    Identified mass distribution of the slender body aircraft
    • Table 1. <bold>Partial system input </bold>(<bold>normalized by the maximum values</bold>)<bold> for future products </bold>(<bold>samples to be predicted</bold>)

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      Table 1. <bold>Partial system input </bold>(<bold>normalized by the maximum values</bold>)<bold> for future products </bold>(<bold>samples to be predicted</bold>)

      总体输入序号第1舱质量第3舱质量第1舱厚度第3舱厚度直径飞行器总质量
      1#0.0800.8080.7270.545~0.7271.0001.000
      2#0.0770.7470.5450.545~0.7271.0000.924
      3#0.0810.7420.9090.9090.9710.935
      4#0.0740.7250.5450.545~0.7270.9710.901
      5#0.0880.6920.5450.545~0.7270.9430.891
      6#0.0640.6470.9090.545~0.7270.9430.802
      7#0.0760.6610.5450.545~0.7270.9140.836
      8#0.0830.6300.5450.727~0.9090.9140.809
      9#0.0640.6180.7270.818~1.0000.8860.782
      10#0.0600.5840.5450.727~0.9090.8860.738
      11#0.0750.6000.5450.545~0.7270.8570.774
      12#0.0680.4750.7270.636~0.8180.8570.653
    • Table 2. Three design methods for training sample database

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      Table 2. Three design methods for training sample database

      序号参数枚举参数随机赋值输入归一化
      数据库1
      数据库2
      数据库3
    • Table 3. <bold>Predicted results for future products </bold>(<bold>samples to be predicted</bold>)<bold> by neural networks</bold>

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      Table 3. <bold>Predicted results for future products </bold>(<bold>samples to be predicted</bold>)<bold> by neural networks</bold>

      总体输入序号1阶频率/Hz2阶频率/Hz3阶频率/Hz
      预测值绝对误差预测值绝对误差预测值绝对误差
      1#27.588 8-0.03371.676 2-0.120131.730 40.094
      2#28.561 2-0.00773.819 1-0.122135.625 8-0.005
      3#31.559 20.05776.714 9-0.148142.030 90.599
      4#27.676 5-0.01671.935 3-0.138131.989 1-0.205
      5#26.278 6-0.01169.714 7-0.075129.141 0-0.108
      6#27.813 1-0.00173.889 0-0.261131.192 5-0.720
      7#25.904 30.01168.626 1-0.099126.235 4-0.201
      8#28.379 4-0.00273.660 5-0.046135.489 8-0.059
      9#30.136 90.01979.041 60.175139.615 6-0.319
      10#29.269 00.01375.997 40.061137.070 2-0.162
      11#24.176 70.00365.060 2-0.173119.902 4-0.185
      12#27.384 8-0.00374.508 00.105135.038 00.341
    • Table 4. <bold>Measured and identified nose cone mass </bold>(<bold>normalized by the maximum values</bold>)

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      Table 4. <bold>Measured and identified nose cone mass </bold>(<bold>normalized by the maximum values</bold>)

      头罩序号质量实测结果质量辨识结果误差/%
      1#0.648 60.645 10.53
      2#0.708 50.730 73.13
      3#0.838 30.833 30.59
      4#0.997 91.000 00.21
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    Yizhe SHEN, Junkai JIA, Xiaoming SHI, Yuliu LI, Zhou HUA. Research on Rapid Modal Frequency Prediction and Structural Fault Localization for Slender Body Aircraft[J]. AEROSPACE SHANGHAI, 2025, 42(2): 177

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    Paper Information

    Category: Simulation and Analysis

    Received: Dec. 10, 2024

    Accepted: --

    Published Online: May. 26, 2025

    The Author Email:

    DOI:10.19328/j.cnki.2096-8655.2025.02.017

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