航天器环境工程2024，Vol.41Issue(3)：363-372,10.DOI:10.12126/see.2023154
基于改进经验模态分解的激光测振信号数据处理方法
A data processing method for laser measured vibration signals based on improved EMD
何宪光 1沈飞 1谢俊彦1
作者信息
- 1. 西安航天动力测控技术研究所,西安 710025
- 折叠
摘要
Abstract
To address the issue that the vibration signals of solid rocket motor measured by laser Doppler vibrometer contains high frequency noise,a data processing method based on empirical mode decomposition(EMD)was proposed.By suppressing the endpoint effect of traditional EMD methods and modifying the criterion of the intrinsic mode function(IMF),an improved EMD method more suitable for the vibration signal data processing of solid rocket motors was developed.In addition,the IMFs were screened based on the characteristics of correlation coefficient and autocorrelation function for subsequent data processing.The comparison shows that data processing based on the improved EMD method is 5%faster than that of the traditional EMD method,and the denoising effect is 7%or 17%better compared with the traditional EMD or the wavelet decomposition algorithm,respectively.This indicates that the proposed data processing method is efficient,stable,and has good engineering application value.关键词
激光测振/经验模态分解/端点效应/去噪/固体火箭发动机Key words
laser vibration measurement/EMD/endpoint effect/denoising/solid rocket motor分类
航空航天引用本文复制引用
何宪光,沈飞,谢俊彦..基于改进经验模态分解的激光测振信号数据处理方法[J].航天器环境工程,2024,41(3):363-372,10.
