提出基于3/2维谱分析的螺栓松动非线性检测及定位方法,用多尺度法分析螺栓松动产生非线性相位耦合的机理,研究3/2维谱分析处理信号的过程并分析其识别非线性二次谐波原理,以铝板上螺栓结构为实验对象,利用粘贴在铝板表面的压电作动/传感元件进行实验,对结构响应信号进行3/2谱分析,有效判断螺栓的连接状态;为实现松动螺栓的定位,定义螺栓松动的非线性指标,引入径向基插值函数,实验获得粘贴在铝板上压电列阵响应信号的非线性指标,利用径向基插值函数拟合损伤定位图像。实验结果表明,该方法能有效检测螺栓松动非线性,实现松动螺栓定位。
Abstract
A method for bolt loosening nonlinearity detection and location based on 3/2-D spectral analysis was proposed.The multi-scale method was used to analyze the mechanism of nonlinear phase coupling produced by bolt looseness, study the signal-processing process with 3/2-D spectral analysis and analyze the principle of its identifying nonlinear second harmonics.A bolt structure on an aluminum plate were taken as the test object, piezoelectric actuator/sensor elements bonded on the aluminum plate were used to perform tests, and 3/2-D spectral analysis was done for structural response signals to effectively judge the bolt’s connection state.In order to realize loose bolt’s positioning, the nonlinear index for bolt loosening was defined, and the radial basis interpolating function was introduced.The nonlinear index for response signals of the piezoelectric array bonded on the aluminum plate was obtained with tests, and the radial basis interpolating function was used to fit the damage location image.The test results showed that the proposed method can effectively detect bolt loosening nonlinearity and realize loose bolt’s positioning.
关键词
螺栓松动 /
3/2维谱分析 /
二次相位耦合 /
径向基插值函数 /
损伤定位
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Key words
bolt loosening /
3/2-D spectral analysis /
second phase coupling /
radial basis interpolating function /
damage positioning
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参考文献
[1] An Y K, Sohn H. Integrated impedance and guided wave based damage detection [J]. Mechanical Systems & Signal Processing, 2012, 28(2):50-62.
[2] Alleyne D N, Cawley P. The interaction of Lamb waves with defects [J]. IEEE Transactions on Ultrasonic Ferroelectrics & Frequency Control, 1992, 39(3):381-97.
[3] Baghalian A, Tashakori S, Senyurek V Y, et al. Novel Approaches for Loose Bolt Detection With and Without Sensors using Heterodyning Effect[C]// Structural Health Monitoring. 2017.
[4] Tao W, Shaopeng L, Junhua S, et al. Health monitoring of bolted joints using the time reversal method and piezoelectric transducers [J]. Smart Materials & Structures, 2016, 25(2):025010.
[5] Amerini F, Meo M. Structural Health monitoring of bolted joints using linear and nonlinear acoustic methods [J]. Structural Health Monitoring, 2011, 10(6):659-672.
[6] Yang J, Chang F K. Detection of bolt loosening in C–C composite thermal protection panels: II. Experimental verification [J]. Smart Materials & Structures, 2006(2):591-599.
[7] Polimeno U, Meo M, Almond D P. Smart Nonlinear Acoustic Based Structural Health Monitoring System [J]. Advances in Science & Technology, 2008, 56(56):426-434.
[8] Fierro G P M, Meo M. Identification Of The Location And Level Of Loosening In A Multi-Bolt Structure Using Nonlinear Ultrasound[C]// The, International Workshop on Structural Health Monitoring. 2017.
[9] 周宇, 陈进, 董广明,等. 基于循环双谱的滚动轴承故障诊断[J]. 振动与冲击, 2012, 31(9):78-81.
ZHOU Yu, CHEN Jin, DONG Guang-ming. Fault diagnosis of rolling element bearing based on cyclic bispectrum[J]. Journal of Vibration and Shock, 2012, 31(9):78-81.
[10] 程军圣, 于德介. 基于小波系数11/2维谱的滚动轴承故障诊断[J]. 振动与冲击, 2001, 20(3):29-31.
CHENG Shengjun, YU Dejie. Application of the 1(1)/(2)-Dimension Spectrum of Wavelet Coefficients to Fault Diagnosis of Roller Bearing[J].Journal of Vibration and Shock,2001,20(3):29-31
[11] 杨江天, 陈家骥, 曾子平. 双谱分析及其在机械诊断中的应用[J]. 中国机械工程, 2000, 11(4):424-426.
YANG Jiangtian, CHEN Jiaji, ZENG Ziping. Bispectral Analysis and Its Application in Machinery Diagnosis[J] CHINA MECHANICAL ENGINEERING. 2000, (4).
[12] Fackrell J W A, Mclaughlin S. The higher-order statistics of speech signals[C]// Techniques for Speech Processing and their Application, IEE Colloquium on. IEE, 2002:7/1-7/6.
[13] Kim G W, Johnson D R, Semperlotti F, et al. Localization of breathing cracks using combination tone nonlinear response [J]. Smart Materials & Structures, 2011, 20(5):055014.
[14] Fan H, Meng Q F, Zhang Y Y, et al. Signal Feature Detection Based on Third Order Cumulant Diagonal Slice[J]. Computer Engineering & Applications, 2006, 42(36):7-8.
[15] Ciampa F, Pickering S, Scarselli G, et al. Nonlinear damage detection in composite structures using bispectral analysis[C]// Health Monitoring of Structural and Biological Systems. International Society for Optics and Photonics, 2014.
[16] Yan R, Yan G. Nonlinear Phase Coupling Analysis of the EEG Based on 1.5-Dimension Spectrum [J]. Beijing Biomedical Engineering, 2006.
[17] Carr J C, Beatson R K, Cherrie J B, et al. Reconstruction and representation of 3D objects with radial basis functions[C]// Conference on Computer Graphics and Interactive Techniques. ACM, 2001:67-76.
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