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文章基本信息

  • 标题:Online Test and Automatic Recognition of Acoustic Emission Signals from Flaw or Damage in Wood-Plastic Composites
  • 本地全文:下载
  • 作者:Dr.Yunfei Liu ; Zhe Yuan ; Hongwei Lu
  • 期刊名称:International Journal of Computer Science & Technology
  • 印刷版ISSN:2229-4333
  • 电子版ISSN:0976-8491
  • 出版年度:2011
  • 卷号:2
  • 期号:1
  • 出版社:Ayushmaan Technologies
  • 摘要:In this paper, we present a pattern recognition model by simulating five kinds of typical acoustic emission (AE) signals originating from flaw and damage in wood-plastic composite (WPC) with the aid of Simulink tool developed by the MathWorks Inc.. By using high-speed code generation technology and Real- Time Workshop to generate efficient TI C6000 code from the pattern recognition model, we build the pattern recognition system of AE signals from the flaws and damages in WPC based on Digital Signal Processing (DSP) to realize online test and automatic recognition. Tests show that the pattern recognition system of AE signals can be used in the online recognition of the WPC’s flaw or damage.etwork.
  • 关键词:Acoustic Emission (AE); Pattern Recognition; Simulink; DSP.
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