通过状态监测技术检测铁路轴早期疲劳裂
María Jesús Gomez1, Cristina Castejon1, Eduardo Corral1
1Mechanical Engineering Department, Avenida de la Universidad 30, 28982 Madrid, Spain.
Sensors (Basel, Switzerland)
|July 14, 2023
概括
这项研究引入了一种新的方法,用于通过振动分析检测铁路轴上的裂. 该技术可以自动识别振动信号中的裂纹指示器,从而有效监测状态并防止故障.
科学领域:
- 机械工程 机械工程
- 状态监控 状态监控
- 信号处理 信号处理
背景情况:
- 在旋转机械,特别是铁路轴上的裂纹检测仍然是一个重大挑战.
- 目前的状态监测技术往往缺乏检测早期裂的灵敏度.
研究的目的:
- 通过振动信号分析开发和验证用于检测铁路轴上的裂的自动化方法.
- 建立基于非监督学习的条件监测可靠的警报值.
主要方法:
- 使用波段包转换器来处理来自振动信号的时间波形.
- 应用非监督学习技术,特别是变化点分析算法,用于自动选择模式和计算警报值.
- 通过铁路轴标本的疲劳测试验证实了该方法,其中包括一个出现裂的标本.
主要成果:
- 确定了振动信号能量与轴破裂时理论缺陷频率相关的显著趋势变化.
- 观察到的这些变化在与轨道平行的振动数据中最为明显.
- 证实了来自完整轴的振动信号中没有裂纹相关的影响.
结论:
- 拟议的方法通过分析振动模式,有效地检测铁路轴上的裂.
- 开发的方法允许自动计算诊断报警值.
- 这种方法为铁路维护中的增强状态监测系统提供了可靠的基础.
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