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对于旋转机械测量的速度诱导调制的振幅规范化
Zhiwen Fang1, Qing Zhang1, Xinfa Shi2
1School of Instrument Science and Technology, Xi'an Jiaotong University, Xi'an 710049, China.
Sensors (Basel, Switzerland)
|October 29, 2025
概括
本研究引入了一种使用支向量回归 (SVR) 的新型振幅正常化方法,以准确地消除旋转机械中的速度诱导的振幅调制 (AM) 效应,显著改善故障检测.
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:
- 变速旋转机器由于速度波动而经历振幅调制 (AM),阻碍了精确的故障检测.
- 现有的方法很难有效地减轻这些速度诱导的AM效应,影响诊断准确度.
研究的目的:
- 开发和验证一个强大的振幅规范化技术,以减轻旋转机械中的速度诱导的AM效应.
- 提高故障信号的清晰度,以提高诊断性能.
主要方法:
- 使用基于相关性的特征选择策略来识别与速度相关的特征.
- 使用支向量回归 (SVR) 来建模和去除估计的AM效应.
- 拟议的方法使用两个案例研究进行了验证,并与现有技术进行了比较.
主要成果:
- 提出的基于SVR的方法准确地估计并消除速度诱导的AM效应.
- 与先进的规范化方法相比,该技术表现出卓越的精度,稳定性和可靠性.
- 错误诊断的准确性得到了显著改善,显示了高达34.7%的增强.
结论:
- 开发的振幅规范化方法有效地解决了旋转机械中变速操作的挑战.
- 这种方法提供了一种可靠的解决方案,用于提高状态监控应用程序中故障检测的准确性.
- 这项研究强调了SVR在信号处理中的潜力,用于机械故障诊断.
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