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Processing of acoustic signals via wavelet & Choi - Williams analysis in three-point bending load of carbon/epoxy and glass/epoxy composites

机译:用小波和富含钙分析在碳/环氧树脂/环氧复合材料的三点弯曲载荷中分析声学信号

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In this article, acoustic emission method was used for monitoring of flexural loading of GFRP (Glass fiber/epoxy composite) and CFRP (Carbon fiber/epoxy composite) via one acoustical sensor. In order to signal processing, various methods were employed such as wavelet transform, Short time Fourier transform, Choi - Williams transform and etc. Using two signal processing methods, wavelet transform and Choi Williams transform, for monitoring of GFRP and CFRP specimens, determines strengths and weaknesses of each method and appointed the best analysis for signal processing of three point bending load of this type of composites. Based on information obtained from comparing of CFRP and GFRP, it is resulted that, the ratio of elastic modules and maximum load bearing of CFRP to GFRP is 136 and 3.25 respectively. Moreover, based on comparing of two analysis method results, Wavelet analysis was appointed better signal processing method for this type of load and material. (C) 2017 Elsevier B.V. All rights reserved.
机译:在本文中,声发射方法用于通过一个声学传感器监测GFRP(玻璃纤维/环氧复合材料)和CFRP(碳纤维/环氧复合材料)的弯曲载荷。为了发信号处理,采用各种方法,例如小波变换,短时间傅里叶变换,Choi-Williams变换等,使用两个信号处理方法,小波变换和Choi Williams变换,用于监测GFRP和CFRP样本,确定强度每种方法的弱点,并指定了这种类型复合材料的三点弯曲负荷的信号处理的最佳分析。基于CFRP和GFRP比较获得的信息,结果,CFRP与GFRP的弹性模块和最大负载轴承的比率分别为136和3.25。此外,基于两种分析方法结果的比较,针对这种类型的负载和材料指定了小波分析。 (c)2017 Elsevier B.v.保留所有权利。

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