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Identification of Defects in Composite Materials Using an Improved Wavelet Analysis Algorithm | Science Publications

机译：改进的小波分析算法识别复合材料中的缺陷科学出版物

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> Problem statement: The present work carries on the use of a method based on the wavelet transform to detect internal flaws of composite materials. The objective of this work consists in working out a data processing sequence of an ultrasonic signal identifying nearly flaws in composite laminate materials and estimating their position. Approach: The use of a numerical signal processing technique, based on the Fast Wavelet Transforms was applied. Results: The method was implanted and optimized for detection and classification of delamination and porosity flaws in manufactured materials. Since the information about the signal requires a large amount of computation time and resources, a technique was used to reduce the dimensions of the sampling signals. In Non-destructive evaluation of stratified composite materials, the identification of some defect features requires more recent and advanced methods than classical techniques. Notably, in thin composite materials, the reflected NDE ultrasonic signals were overlapping. As a result, the flaws evaluation was becoming unfeasible. Many works dedicated to advanced signal processing based on time-frequency analysis had been widely used in Non-Destructive Evaluation (NDE) applications. To evaluate the nearly flaw detection of delamination and porosity enclosed in composite multilayer plate, the wavelet analysis was applied to ultrasound waveforms acquired by immersion pulse-echo technique. Conclusion: The obtained results offer some defect features relating their nature and position. The applied wavelet analysis provided excellent results for the investigated materials containing artificial delamination and porosity flaws.
机译： > 问题陈述：本工作继续使用基于小波变换的方法来检测复合材料的内部缺陷。这项工作的目的在于确定超声波信号的数据处理顺序，以识别复合层压材料中的几乎缺陷并估计其位置。 方法：应用了基于快速小波变换的数字信号处理技术。 结果：对该方法进行了植入和优化，以检测和分类制造材料中的分层和孔隙缺陷。由于关于信号的信息需要大量的计算时间和资源，因此使用了一种技术来减小采样信号的尺寸。在分层复合材料的无损评估中，某些缺陷特征的识别需要比传统技术更多的最新技术。值得注意的是，在薄的复合材料中，反射的NDE超声信号是重叠的。结果，缺陷评估变得不可行。许多致力于基于时频分析的高级信号处理的工作已广泛用于无损评估（NDE）应用中。为了评估封闭在复合多层板中的分层和孔隙率的几乎缺陷检测，将小波分析应用于通过浸没脉冲回波技术获得的超声波形。 结论：得到的结果提供了一些与它们的性质和位置有关的缺陷特征。应用的小波分析为包含人工分层和孔隙缺陷的被调查材料提供了出色的结果。

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