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首页> 外文期刊>Mechanical systems and signal processing >A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites
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A signal processing approach for enhanced Acoustic Emission data analysis in high activity systems: Application to organic matrix composites

机译：高活性系统中增强声发射数据分析的信号处理方法：在有机基复合材料中的应用

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摘要

Structural elements made of Organic Matrix Composites (OMC) under complex loading may suffer from high Acoustic Emission (AE) activity caused by the emergence of different emission sources at high rates with high noise level, which finally engender continuous emissions. The detection of hits in this situation becomes a challenge particularly during fatigue tests. This work suggests an approach based on the Discrete Wavelet Transform (DWT) denoising applied on signal segments. A particular attention is paid to the adjustment of the denoising parameters based on pencil lead breaks and their influence on the quality of the denoised AE signals. The validation of the proposed approach is performed on a ring-shaped Carbon Fiber Reinforced Plastics (CFRP) under in-service-like conditions involving continuous emissions with superimposed damage-related transients. It is demonstrated that errors in hit detection are greatly reduced leading to a better identification of the natural damage scenario based on AE signals.
机译：由有机基质复合材料（OMC）制成的结构元件在复杂载荷下可能会遭受高声发射（AE）活动的影响，这是由于不同排放源以高速率和高噪声水平出现，最终导致了连续排放。特别是在疲劳测试期间，在这种情况下检测碰撞是一项挑战。这项工作提出了一种基于离散小波变换（DWT）去噪的信号处理方法。要特别注意基于铅笔芯折断的去噪参数的调整及其对去噪AE信号质量的影响。拟议方法的验证是在环形碳纤维增强塑料（CFRP）上进行的在役条件下进行的，涉及连续排放以及与损伤相关的瞬态叠加的连续排放。结果表明，命中检测中的错误被大大减少，从而可以根据AE信号更好地识别自然损坏情况。

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  • 来源
    《Mechanical systems and signal processing》 |2016年第3期|1038-1055|共18页
  • 作者

    M. Kharrat; E. Ramasso; V. Placet; M.L. Boubakar;

  • 作者单位

    Department of Applied Mechanics, FEMTO-ST Institute - UMR CNRS 6174 - UFC/ENSMM/UTBM, 25000 Besancon, France;

    Department of Applied Mechanics, FEMTO-ST Institute - UMR CNRS 6174 - UFC/ENSMM/UTBM, 25000 Besancon, France,Department of Automatic Control and Micro-Mechatronic Systems, FEMTO-ST Institute - UMR CNRS 6174 - UFC/ENSMM/UTBM, 25000 Besancon, France;

    Department of Applied Mechanics, FEMTO-ST Institute - UMR CNRS 6174 - UFC/ENSMM/UTBM, 25000 Besancon, France;

    Department of Applied Mechanics, FEMTO-ST Institute - UMR CNRS 6174 - UFC/ENSMM/UTBM, 25000 Besancon, France;

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  • 正文语种 eng
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  • 关键词

    Continuous AE signals; CFRP; Quasi-static tests; Wavelet denoising; Hit detection; Pattern recognition;

    机译：连续AE信号;CFRP;准静态测试;小波去噪命中检测;模式识别;

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