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基于LabVIEW软件平台的粗晶材料超声信号去噪处理的研究

LABVIEW PLATFORM BASED DE-NOISING PROCESSING OF ULTRASONIC SIGNAL OF COARSE-GRAINED MATERIALS

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【作者】 张惠刘晴岩

【Author】 ZHANG Hui, LIU Qing-yan (Department of Mechanical Engineering, East China University of Science and Technology, Shanghai 200237, China)

【机构】 华东理工大学机械工程学院华东理工大学机械工程学院 上海 200237上海 200237

【摘要】 采用超声纵波检测粗晶材料缺陷时,由于晶粒粗大及各向异性的影响,将产生较强的组织散射噪声,降低材料超声探伤的信噪比,严重干扰对缺陷回波的正确识别与判断。文章分析了粗晶材料超声信号去噪处理方法,提出了基于软件平台LabVIEW的信号处理构想,设计了粗晶材料超声信号去噪处理的LabVIEW处理模块,为有效抑制粗晶材料的组织散射噪声提供了手段。

【Abstract】 When ultrasonic detection is used to inspect the defect of coarse-grained materials, serious structure-scattered noise will occur because of the influence of coarse grains,consequently the signal-to-noise ratio(SNR) is lowered and identification and judgment of defect signal is seriously disturbed. Signal processing design ideas based on the software LabVIEW are put forward after the de-noising processing method of ultrasonic signal of coarse-grained materials is analysed. The design of de-noising processing module on LabVIEW is also studied. and methods are offered for suppressing the structure-scattered noise in coarse-grained materials efficiently.

  • 【文献出处】 无损检测 ,Nondestructive Testing , 编辑部邮箱 ,2004年11期
  • 【分类号】TB303
  • 【被引频次】6
  • 【下载频次】180
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