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微速差双转子信号分离方法精度研究

张梦 潘鑫 高金吉 卢加乔 马威龙

流体机械2024,Vol.52Issue(4):1-6,27,7.
流体机械2024,Vol.52Issue(4):1-6,27,7.DOI:10.3969/j.issn.1005-0329.2024.04.001

微速差双转子信号分离方法精度研究

Research on the accuracy of micro-speed difference dual-rotor signal separation method

张梦 1潘鑫 1高金吉 1卢加乔 1马威龙1

作者信息

  • 1. 北京化工大学 发动机健康监控及网络化教育部重点实验室,北京 100029||北京化工大学 化工安全教育部工程中心,北京 100029
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摘要

Abstract

The separation of micro-speed difference signals within differential frequency 1 Hz is a challenge in the field of dual-rotor vibration feature extraction.Zoom-FFT(ZFFT)is a classical algorithm for extracting the features of signals with similar frequencies.However,it needs sufficient data length to achieve a good signal separation effect.In order to improve the signal frequency resolution without increasing the data length,the ZFFT+FT algorithm is generated on the basis of ZFFT algorithm.The extraction accuracy of the algorithm for micro-speed difference signals with frequency difference of 1 Hz and 0.5 Hz was studied through LabVIEW software simulation experiments,and compared with that of chirp Z transform(CZT),ZFFT and FFT algorithms.The extraction accuracy was measured by the relative error and variance of the extraction results.Field experiments were carried out in the coaxial micro-speed difference dual-rotor test stand,and the extraction results of 28s dataset of micro-speed difference signal by FFT were compared with those of 4s dataset extracted by CZT,ZFFT and ZFFT+FT algorithms.The maximum error between ZFFT+FT algorithm and FFT algorithm is 0.56 μm,which verifies the real-time performance and accuracy of ZFFT+FT.The results indicate that the ZFFT+FT algorithm can accurately extract the micro-speed difference signals within frequency difference of 1 Hz in real time.The research results can provide reference for the extraction of micro-speed difference signals in rotating machinery.

关键词

微速差/双转子/Zoom-FFT/ZFFT+FT

Key words

micro-speed difference/dual-rotor/Zoom-FFT/ZFFT+FT

分类

机械制造

引用本文复制引用

张梦,潘鑫,高金吉,卢加乔,马威龙..微速差双转子信号分离方法精度研究[J].流体机械,2024,52(4):1-6,27,7.

基金项目

国家自然科学基金面上项目(51875031) (51875031)

北京市自然科学基金面上项目(3212010) (3212010)

流体机械

OA北大核心CSTPCD

1005-0329

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