Detection technology application based on spectral subtraction and vibro acoustic principle in the measurement of ship reliability level

IF 2 Q2 ENGINEERING, MECHANICAL Frontiers in Mechanical Engineering Pub Date : 2024-03-25 DOI:10.3389/fmech.2024.1378166
Hongyu Jin
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Abstract

Introduction: As an important part of ship manufacturing, parts are of great significance in the calculation of its reliability level.Methods: To achieve rapid damage detection of ship parts, a method for measuring the reliability level of ship casting and forging parts based on spectral subtraction and vibration-acoustic principles was proposed. This method improves the spectral subtraction method by adding a percussion vibration signal and time-frequency analysis, and uses the principle of resonance acoustics to complete the construction of the test platform to obtain the natural frequency of the part and achieve non-destructive testing of the part.Results: The results show that using the Fabric data set as the task data set for experiments, the accuracy of the research method is 98.54%; the uncertainty is 5.58; the sensitivity detection is 0.26 μm. In the comparison of the spectrogram of the sound signal after noise reduction, this method has fewer yellow spots remaining on the spectrogram of the noise reduction sound signal, and almost no excess noise remains. In the comparison of modal simulation data of ship parts, the maximum relative error between the simulation data obtained by this method and the natural frequency value obtained from the experimental data is 2.3%, and there is no value exceeding 2.5%, so the error is small.Discussion: The above results show that this method can obtain more accurate natural frequencies of parts, can effectively calculate the reliability level of ship casting and forging parts, and provides a new method reference for the safe operation of ships.
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基于光谱减法和振动声学原理的检测技术在船舶可靠性水平测量中的应用
引言作为船舶制造的重要组成部分,零部件对船舶可靠性水平的计算具有重要意义:方法:为实现对船舶零件损伤的快速检测,提出了一种基于频谱减法和振动声学原理的船舶铸锻件可靠性水平测量方法。该方法改进了频谱减法,增加了冲击振动信号和时频分析,并利用共振声学原理完成了测试平台的搭建,获得了零件的固有频率,实现了对零件的无损检测:结果表明,以 Fabric 数据集为任务数据集进行实验,研究方法的准确度为 98.54%;不确定度为 5.58;灵敏度检测为 0.26 μm。在降噪后的声音信号频谱图对比中,该方法在降噪后的声音信号频谱图上残留的黄斑较少,几乎没有多余的噪声残留。在船舶部件模态仿真数据对比中,该方法得到的仿真数据与实验数据得到的固有频率值的最大相对误差为 2.3%,没有超过 2.5%的值,误差较小:以上结果表明,该方法可获得较为准确的零件固有频率,能有效计算船舶铸锻件的可靠性水平,为船舶安全运行提供了新的方法参考。
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来源期刊
Frontiers in Mechanical Engineering
Frontiers in Mechanical Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
4.40
自引率
0.00%
发文量
115
审稿时长
14 weeks
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