测试技术学报2025，Vol.39Issue(4)：373-381,9.DOI:10.62756/csjs.1671-7449.2025056
融合ESPRIT和FFT的动叶片振动参数辨识方法研究
Research on Vibration Parameter Identification Method of Rotating Blade Based on ESPRIT and FFT Algorithm
摘要
Abstract
Currently,blade tip timing(BTT)stands as one of the most effective monitoring techniques for studying blade vibration issues,and it is extensively utilized in condition monitoring and fault diagnosis of rotating blades.However,the difficulties in identifying blade vibration parameters caused by the inherent non-uniformity and under sampling characteristics of the BTT technique have become an urgent challenge that needs to be addressed.This paper initially investigates the attributes of blade vibration parameters identified by the estimating signal parameter via rotational invariance techniques(ESPRIT)and fast Fourier transform(FFT)algorithms.Subsequently,it extended the spectral analysis results of blade vibration,and ultimately proposed a method for identifying vibration parameters of the rotating blade that integrates ESPRIT and FFT algorithms.The ESPRIT-FFT method employed the extended spectrum to estimate the blade vibration frequency,determined the frequency band via the ESPRIT algorithm,and subse-quently identified the blade vibration parameters.Simulation studies demonstrate the feasibility and noise resistance of the ESPRIT-FFT method.The vibration test of the centrifugal compressor impeller reveals that the absolute error of the ESPRIT-FFT method in identifying blade vibration frequency is 1.4 Hz,with a relative error of 0.22%.关键词
叶端定时/动叶片/旋转不变子空间/快速傅里叶变换/频谱扩展/参数辨识Key words
blade tip timing/rotating blade/estimating signal parameter via rotational invariance tech-niques/fast Fourier transform/extended spectrum/parameter identification分类
机械工程引用本文复制引用
范振芳,黄晋英,刘思远,卫焦霖..融合ESPRIT和FFT的动叶片振动参数辨识方法研究[J].测试技术学报,2025,39(4):373-381,9.基金项目
国家自然科学基金资助项目(52405141) （52405141）
山西省基础研究计划资助项目(202403021212143) （202403021212143）
山西省高等学校科技创新资助项目(2024L177) （2024L177）
中国博士后科学基金资助项目(2024M752992) （2024M752992）
