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变转速工况下叶尖计时信号趋势项解析及验证

张旭龙1,王维民1,李天晴1,林昱隆1,艾信息1,王振国2   

  1. 1. 北京化工大学
    2.
  • 收稿日期:2022-01-21 修回日期:2022-03-01 出版日期:2022-03-11 发布日期:2022-03-11
  • 通讯作者: 王维民
  • 基金资助:
    高转速叶片寿命预测及智能运维分析技术;基于叶片振动的发动机故障诊断预警和寿命预测方法研究;多源激励下叶片-转子系统失稳故障预测与增稳关键技术;基于共振耦合的航空发动机涡轮叶片/轮盘损伤实时识别方法研究

Analysis and verification of trend term of tip timing signal under variable speed condition

  • Received:2022-01-21 Revised:2022-03-01 Online:2022-03-11 Published:2022-03-11

摘要: 非接触叶尖计时法作为监测旋转叶片振动参数的有效手段,近年来在航空发动机叶片振动监测中得到了广泛使用,然而监测结果中还存在如趋势项等难以定量分析的成分。从叶尖计时原理出发,分析了叶尖计时时域信号中存在的成分,研究了转速非线性变化对叶尖计时测量结果的影响规律,提出了有键相叶尖计时信号中误差辨识与修正方法。建立了融合转速变化及气动阻力引起的趋势项的叶尖计时数字模型,通过数值仿真验证了所提方法的准确性,然后利用航空发动机压气机叶片实验台的叶尖计时数据以及动应力数据进行对比验证,结果表明本文方法计算的叶尖位移趋势项与动应变趋势项的相关系数为0.986,具备良好的一致性。对于降低叶尖计时测量结果的不确定性、实现叶片运行状态的全面监测具有重要的工程应用价值。

关键词: 叶尖计时, 趋势项, 变转速, 气动阻力, 叶片振动

Abstract: As an effective method to monitor the vibration parameters of rotating blades, non-contact blade tip timing method has been widely used in aeroengine blade vibration monitoring in recent years. However, there are still some components that are difficult to be ana-lyzed quantitatively in the measurement results, such as trend term. Based on the principle of blade tip timing, the components in the time domain signal of tip timing are analyzed, the influence of nonlinear change of speed on the measurement results is studied, and the error identification and correction method of once per revolution based tip timing signal is proposed. A tip timing digital model integrating the trend term caused by speed change and aerodynamic resistance is established. The accuracy of the proposed method is verified by numerical simulation, and then compared and verified by using the tip timing data and dynamic stress data of aeroengine compressor blade test-rig, the results show that the correlation coefficient between tip displacement trend term and dynamic strain trend term calculated by the proposed method is 0.986, which has good consistency. It has important engineering application value for reducing the uncertainty of blade tip timing measurement results and realizing the comprehensive monitoring of blade operation state.

Key words: blade Tip timing, Trend term, Variable speed, Aerodynamic resistance, Blade vibration

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