刀片振动基于差异的圆周福里埃拟合算法用于同步振动参数识别旋转刀片的振动
Zhenfang Fan1, Hongkun Li2, Jinying Huang1
1School of Mechanical Engineering, North University of China, Taiyuan 030051, China.
Sensors (Basel, Switzerland)
|January 8, 2025
概括
这项研究引入了一种新的基于刀片振动差异的圆周里埃拟合 (BVD-CFF) 算法. BVD-CFF方法提高了旋转机械刀片尖端计时 (BTT) 技术的准确性.
科学领域:
- 机械工程 机械工程
- 振动分析 振动分析
- 旋转机械 旋转机械 旋转机械
背景情况:
- 刀片振动对于旋转机械的效率和安全性至关重要.
- 刀片尖端定时 (BTT) 是监测刀片振动的一个关键技术.
- 现有的BTT方法由于现实应用中的非静止因素而存在不准确性.
研究的目的:
- 开发一种高精度的BTT技术,用于刀片振动监测.
- 为了解决传统BTT方法中的不准确性.
- 为刀片同步振动参数识别提出一个优化的算法.
主要方法:
- 优化传统的圆周里埃拟合 (CFF) 算法.
- 采集了四组BTT信号,使用两个探测器,根据刀片离开时间.
- 建立六组叶片振动差异的方法.
- 基于叶片振动差异的圆周里埃拟合 (BVD-CFF) 算法的建议.
主要成果:
- 在模拟中,BVD-CFF算法表现出卓越的抗噪性能.
- 在高速旋转和大型离心压缩机试验装置上的实验验证.
- 确定了叶片同步振动的发动机顺序与张力计方法的结果密切匹配.
结论:
- BVD-CFF算法为叶片振动监测提供了一个强大的,准确的解决方案.
- 这种方法可以提高BTT技术在实际工程场景中的精度.
- 这些发现支持应用BVD-CFF算法来评估旋转机械的健康状况.
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