...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Proceedings of the institution of mechanical engineers >A preliminary study for prefailure indicators in acoustic emissions using wavelets and natural time analysis
【24h】

A preliminary study for prefailure indicators in acoustic emissions using wavelets and natural time analysis

机译：利用小波和自然时间分析对声发射中的故障前指标进行初步研究

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Acoustic emission tests were conducted on prismatic Dionysos' marble specimens subjected to compressive mechanical loading cycles. Two groups of acoustic emission time series were analyzed: one group comprised the number of counts per acoustic emission hit and a second group comprised the RA quantity (RA = rise time/amplitude). Both time series were studied during the load increase period. The investigation of prefailure indicators was carried out using an interdisciplinary approach: using two solid methods from different scientific areas (i.e. cardiology and seismology) we were able to detect failure indicators along before the final collapse. More specific, by means of multiresolution wavelet analysis for the study of temporal variation of the wavelet-coefficients' standard deviation and natural time analysis using the variance (kappa(1)) of natural-time transformed time-series, a common pattern for both domains was discovered, clearly showing that it is feasible to estimate if the applied mechanical load has led the specimen in the nonlinear region (sigma*>70% sigma(f)) regarding the stress-strain behavior.
机译：在经受压缩机械载荷循环的棱柱形狄奥尼索斯大理石样品上进行了声发射测试。分析了两组声发射时间序列：一组包括每个声发射命中的计数数，另一组包括RA量（RA =上升时间/幅度）。在负荷增加期间研究了两个时间序列。故障前指标的研究采用了跨学科的方法：使用来自不同科学领域（即心脏病学和地震学）的两种可靠方法，我们能够在最终坍塌之前检测到故障指标。更具体地说，通过多分辨率小波分析来研究小波系数的标准偏差的时间变化，并使用自然变换时间序列的方差（kappa（1））进行自然时间分析，这是两者的共同模式发现了多个域，清楚地表明，对于应力-应变行为，估计所施加的机械载荷是否已使试样在非线性区域（σ*> 70％σ（f））中可行。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号