基于连续高斯拟合的涡轮机械叶片叶尖间隙与振动计算方法
By using a continuous Gaussian fitting method based on capacitive sensors, the accuracy problem of traditional monitoring methods in monitoring blade tip clearance and vibration under complex working conditions was solved, achieving high-precision monitoring of blade condition and improving the stability and accuracy of calculation results.
CN120274626BActive Publication Date: 2026-07-17DALIAN UNIV OF TECH
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- DALIAN UNIV OF TECH
- Filing Date
- 2025-04-07
- Publication Date
- 2026-07-17
Smart Images
Figure CN120274626B_ABST
Abstract
本发明公开一种基于连续高斯拟合的涡轮机械叶片叶尖间隙与振动计算方法，属于故障诊断技术领域，基于电容传感器的叶尖间隙与振动信号获取，提出使用连续高斯拟合方法(CGF)得到可用于更精确计算叶尖间隙与叶尖振动特征的数据信号。与常规的阈值识别法(TVM)相比，CGF方法通过对电容传感器采集的叶尖状态信号进行高斯拟合校准，极大减少了环境噪声的干扰，显著提升了叶尖间隙与振动计算的准确性。实验结果表明，CGF方法在不同转速工况下均表现出更优的计算稳定性，特别是在低转速时，叶尖振动的计算稳定性是TVM方法的4.15倍，并能更精确地识别叶片共振。该方法能够实现实时监测，并提供更加精确的叶尖间隙与振动数据。
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