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Updated: Jun 26, 2025

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通过基于超声波引导波的混沌振荡器的科尔摩戈罗夫透来检测轨道缺陷
Ziyan Zeng1, Jing Wu2, Mingfang Zheng3
1School of Mechanics and Construction Engineering, Jinan University, Guangzhou 510632, China.
Sensors (Basel, Switzerland)
|May 11, 2024
概括
这项研究引入了一种新的混乱振荡器模型,用于检测弱超声波引导波 (UGW) 信号在杂的铁路缺陷检测中. 该方法使用新的指数Ke. Ke. 准确量化铁路缺陷.
科学领域:
- 材料科学 材料科学 材料科学
- 机械工程 机械工程
- 信号处理 信号处理
背景情况:
- 超声波导向波 (UGW) 检查是用于铁路缺陷检测的关键非破坏性测试 (NDT) 方法.
- 在强噪声中检测弱UGW信号是一个重大挑战.
研究的目的:
- 开发UGW信号识别模型,以加强铁路缺陷检测.
- 建立一个定量指数来描述铁路缺陷.
主要方法:
- 建立了一个基于混乱振荡器 (Duffing系统) 的UGW信号识别模型.
- 该UGW响应被整合到Duffing系统的临界状态.
- 一个电磁传感器使单向UGW激发用于轨道底部和头部检查.
主要成果:
- 该方法成功检测并定位了0.46毫米 (轨道底部) 和1.78毫米 (轨道头部) 的隙.
- 从Duffing振荡器的临界状态中得出的参数Ke被发现与隙大小直接成比例.
- Ke 作为铁路缺陷表征的定量指数.
结论:
- 提出的基于混乱振荡器的模型有效地识别了噪音环境中的UGW信号.
- 凯指数为评估铁路缺陷严重程度提供了可靠的定量指标.
- 这种方法推进了用于铁路完整性监测的NDT技术.
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