...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Structural health monitoring >Rail crack monitoring based on Tsallis synchrosqueezed wavelet entropy of acoustic emission signals: A field study
【24h】

Rail crack monitoring based on Tsallis synchrosqueezed wavelet entropy of acoustic emission signals: A field study

机译：基于声发射信号的Tsallis同步压缩小波熵的钢轨裂纹监测：现场研究

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

This article focuses on the rail crack monitoring using acoustic emission technique in the field typically with complex cracking conditions and high operational noise. A novel crack monitoring strategy based on Tsallis synchrosqueezed wavelet entropy was developed, where synchrosqueezed wavelet transform was introduced to explore the time–frequency characteristics of acoustic emission signals and Tsallis entropy was adopted to quantify the local variation of acoustic emission wavelet coefficients more accurately. The mother wavelet of synchrosqueezed wavelet transform and three key parameters of time-Tsallis synchrosqueezed wavelet entropy, including characteristic frequency band, non-extensive parameter, and time window length, were appropriately determined. The performance of the strategy was validated through field tests with an incipient rail crack and trains running at operating speeds. Time-Tsallis synchrosqueezed wavelet entropy efficiently detected and located the crack by extracting the crack-related transients in acoustic emission signals that were easily submerged in the operational noise. Synchrosqueezed wavelet transform further helped to analyze the mechanisms of these crack-related transients, which were distinguished to be either crack propagation or impact. The experimental results demonstrated that the crack monitoring strategy proposed is able to detect both surface and internal rail cracks even in the noisy environment, highlighting its potential for field applications.
机译：本文重点研究通常在复杂的开裂条件和高运行噪声的现场使用声发射技术进行的铁路裂缝监测。提出了一种基于Tsallis同步压缩小波熵的裂缝监测策略，引入同步小波变换来探究声发射信号的时频特性，并采用Tsallis熵来更精确地量化声发射小波系数的局部变化。适当确定了同步小波变换的母小波和时间Tsallis同步小波熵的三个关键参数，包括特征频带，非扩展参数和时间窗长度。该策略的性能通过初期的铁路裂纹和以运行速度运行的列车的现场测试得到了验证。通过提取声发射信号中与裂纹相关的瞬变，可以轻松地将时间-Tsallis同步压缩的小波熵检测到并确定裂纹的位置，这些瞬变很容易淹没在运行噪声中。同步压缩小波变换进一步帮助分析了这些与裂纹相关的瞬变的机理，这些瞬变的机理是裂纹扩展或冲击。实验结果表明，即使在嘈杂的环境中，提出的裂纹监测策略也能够检测表面和内部钢轨裂纹，突出了其在现场应用中的潜力。

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