一种用于高速列车轴承故障检测的新监控技术
Sitong Sun1, Sheng Zhang1, Wilson Wang2
1School of Automation and Electronic Engineering, Qingdao University of Science and Technology, Qingdao 266000, China.
Sensors (Basel, Switzerland)
|July 29, 2023
概括
一个新的无线监控系统和多重相关性分析 (MCA) 技术提高了高速列车中的轴承故障检测. 该系统有效地使用振动信号和特征频率诊断故障.
科学领域:
- 机械工程 机械工程
- 信号处理 信号处理
- 状态监控 状态监控
背景情况:
- 高速列车依靠坚固的轴承系统来确保安全运行.
- 早期检测轴承故障对于防止灾难性故障和确保安全至关重要.
- 现有的监控系统可能缺乏用于全面诊断的灵敏度或无线功能.
研究的目的:
- 开发一种先进的监控系统,用于在高速列车中早期检测轴承故障.
- 引入一种新的多重相关性分析 (MCA) 技术,用于增强故障识别.
- 通过实验测试来验证拟议系统的有效性.
主要方法:
- 开发一个无线数据采集系统,用于收集振动和相关信号.
- 变量模态分解 (VMD) 的应用,将振动信号分解为内在模式函数 (IMF).
- 使用MCA进行特征特征提取和信号分析,然后对封面功率频谱进行检查以诊断故障.
主要成果:
- 拟议的MCA技术成功地确定了标志着轴承故障的特征特征.
- 实验验证证了该系统在各种轴承条件下检测故障的能力.
- 无线数据采集使得有效和非侵入性信号收集成为可能.
结论:
- 综合无线监控系统和MCA技术为高速列车轴承故障检测提供了一个有希望的解决方案.
- VMD-MCA方法为分析复杂的振动信号提供了一种可靠的方法.
- 这项技术可以显著提高高速铁路运营的安全性和可靠性.
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