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脱粘界面超声检测信号的小波多分辨率分析与重构 总被引:6,自引:1,他引:5
针对钢-橡胶分层粘接结构的超声检测回波信号,利用小波变换的多分辨率时频特性提出了小波特征参数提取算法,据此在对检测信号进行的时间-尺度分布分析基础上,重构出脱粘界面回波信号的时域和频域特征。实验检测结果表明本文方法在现代工业NDT&E中的应用有着可喜的前景。 相似文献
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在分析激光主动探测中回波信号的噪声特性和小波变换去噪原理的基础上,提出了一种基于最大信噪比准则的小渡阈值去噪方法。首先用最大信噪比准则对小波变换系数进行阈值选取,然后采用软阂值方法对小波系数进行量化处理后再重构。仿真结果表明最大信噪比准则小波去噪方法改善信噪比效果十分显著,检测下限达到-16.2dB。证明了该方法在激光主动探测系统回波信号检测中的有效性。 相似文献
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针对结构早期损伤超声非线性检测中损伤表征问题,发展了一种基于动态小波指纹的超声信号分析方法,从超声信号的动态小波指纹分布中提取出一种可用于结构早期损伤表征的超声非线性特征参数。研究了小波基函数及分析尺度对超声非线性效应提取效果的影响,优选出对结构早期损伤敏感的小波基函数以及尺度范围。将提出的动态小波指纹分析方法应用于二次谐波及混频非线性超声检测信号分析,结果表明,动态小波指纹分析方法可有效提取出检测信号中的二次谐波及混频分量,基于小波指纹分布的非线性特征参数可用于板结构中微裂纹的定量表征.本文研究工作为结构早期损伤超声非线性检测中的弱非线性效应提取作了有益探索。 相似文献
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Chih-Chieh Chang 《Applied Acoustics》2004,65(8):819-832
This paper presents a technique for structure damage detection based on spatial wavelet analysis. Many damage detection methods require modal properties before and after damage. This method only needs the spatially distributed signals (e.g. the displacements or mode shapes) of the rectangular plate after damage. First, spatially distributed signals of the rectangular plate with damage are obtained by finite element method. The damaged region is represented as the elements with reduced stiffness. Then these spatially distributed signals are analyzed by wavelet transformation. It is observed that distributions of the wavelet coefficients can identify the damage position of rectangular plate by showing a peak at the position of the damage. It is also demonstrated that this method is very sensitivity to the damage size. 相似文献
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In this paper the vibration analysis for local faults and transient phenomena detection, using multiwavelet systems, is developed. Unlike the scalar wavelet systems, in which their coefficients are scalar parameters, the transformation coefficients of multiwavelet systems are vector valued, and their calculation requires specialized techniques. In this investigation, having considered the technique used to obtain the scalar wavelet system coefficients, the transformation coefficients of the multiwavelet system are calculated, and by applying the method to artificial vibration signals, decomposition of the signal into different multiscale and multiwavelet functions (as introduced by Donovan, Geronimo, Hardin and Massopust) is examined, as well as the capability of this multiwavelet system for transient phenomena detection. By analyzing the vibration signal of a faulty gearing system the applicability of Donovan, Geronimo, Hardin and Massopust multiwavelet system for local fault detection of the mechanical systems is shown. The results confirm that using the multiwavelet system, not only can the fault in the gearing system be diagnosed, but also its location can be determined precisely. 相似文献
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船舶尾流具有特殊的声学、电学、磁学和光学特性。选用一维小波变换含离散小波变换、连续小波变换、小波包变换、复小波变换对测量的尾流光学性质进行了分析,其结果表明:不同条件下尾流散射光信号具有不同的自动阈值,经小波变换后保留的能量比例、小波系数置零比率不同,变换的小波系数染色模式、系数曲线、最大系数线区别明显。一维连续小波变换显示出细节信号具有一定周期性,说明在测量过程存在周期性的干扰因素。通过小波分解的各层细节信号,为在测量结果中消除或降低这些因素的影响指明了方向。一维连续小波变换结果显示,在不同压强下小波系数大小及分布、极大值分布都有明显区别。一维小波包变换的压缩信号保留了原始信号绝大部分的能量,选择的系数可作为不同压强下尾流气泡幕的特征系数,而一维复小波变换变换的模、模角以及系数随时间轴的分布,其相对大小都不相同。经小波分析,可以提取出散射光信号的共性,也可以直观地展示不同散射光信号的区别。 相似文献
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Chih-Chieh Chang 《Applied Acoustics》2003,64(12):1217-1240
This paper presents a technique for structure damage detection based on spatial wavelet analysis. The wavelet transform is used to analyze the mode shape of a Timoshenko beam. First, the mode shapes of the Timoshenko beam containing a transverse crack are obtained. The crack is represented as a rotational spring. Then these spatially distributed signals are analyzed by wavelet transformation. It is observed that distributions of the wavelet coefficients can identify the crack position of Timoshenko beam by showing a peak at the position of the crack. It is also demonstrated that the crack position can be detected by this method even though the crack is very small. Assumed measurement errors are added to the mode shape for evaluating the effect of measurement errors on the capability of detecting crack position. The moving average method is used to process the data with assumed measurement errors. The crack positions can also be identified when there exist assumed measurement errors. 相似文献
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I. M. Dremin G. Kh. Eyyubova V. L. Korotkikh L. I. Sarycheva 《Indian Journal of Physics》2011,85(1):39-44
The event-by-event analysis of multiparticle production in high energy hadron and nuclei collisions can be performed using
the discrete wavelet transformation. The ring-like and jet-like structures in two-dimensional angular histograms are well
extracted by wavelet analysis. For the first time the method is applied to the jet-like events. The jet positions are located
quite well by the discrete wavelet transformation of angular particle distribution even in the presence of soft process background
in nucleus-nucleus collisions at LHC energies. 相似文献
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Chih-Chieh Chang 《Applied Acoustics》2004,65(11):1095-1111
This paper presents a technique for blade damage detection based on spatial wavelet analysis. The wavelet transform is used to analyze spatially distributed signals (e.g. mode shape) of cracked thick rotating blades. First, a finite element model is applied to the vibration of a thick rotating blade with a single edge crack. The effects of transverse shear deformation and rotatory inertia are taken into account. Then the mode shapes of the cracked rotating blade are analyzed by wavelet transformation. The effects of crack locations and sizes on the wavelet coefficients are studied. It is found that the distributions of the wavelet coefficients can identify the crack position of the rotating blades by showing a peak at the position of the crack. Then the signals are analyzed by wavelet transform. It is found that the distributions of the wavelet coefficients can identify the crack position. Assumed measurement errors are added to nth mode shape for evaluating the effect of measurement errors on the capability of detecting crack position. The moving average method is used to process the data with assumed measurement errors. The crack positions can also be identified when there exist assumed measurement errors. 相似文献