Method for reconstructing vibration response data in the presence of flight state turbulence interference

CN122389209APending Publication Date: 2026-07-14SOUTHEAST UNIV
View PDF 0 Cites 0 Cited by

Patent Information

Application Number
CN202610673127.2
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-05-15
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

In pulse flutter flight tests, the response signal caused by turbulent interference is difficult to separate effectively, affecting the accuracy of modal parameter identification, especially the estimation of damping ratio parameter, and increasing the flight test risk.

Method used

The dynamic changes of signal energy are evaluated by using a sliding window root mean square method. The signal is divided into pulse-dominated, common-dominated, and turbulence-dominated stages. Singular value decomposition and correlation function theory formulas are used to reconstruct the signal in stages and suppress turbulence interference.

Benefits of technology

It achieves accurate reconstruction of impulse response signals, improves the accuracy of modal parameter identification, reduces the estimation error of noise-sensitive parameters, and ensures the consistency and traceability of data processing.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN122389209A_ABST
    Figure CN122389209A_ABST
Patent Text Reader

Abstract

This invention discloses a method for reconstructing vibration response data under turbulent interference during flight, relating to the field of flutter flight test data processing technology. The invention first uses a sliding window root mean square (RMS) to evaluate the dynamic changes in the energy of the response signal, adaptively dividing the signal into pulse-dominated, co-dominated, and turbulence-dominated stages. Then, singular value decomposition is performed on the signal in each stage. Based on the location and magnitude of the maxima in the singular value difference spectrum of each stage, and combined with the frequency of interest in the target signal, the corresponding singular value group is adaptively selected for signal reconstruction. Finally, based on correlation function theory, a substitution expression for the reconstructed signal is calculated, and the substitution result is used for subsequent modal parameter identification. This invention can effectively suppress the interference of atmospheric turbulence on pulse flutter flight test data, significantly improve the signal-to-noise ratio of the reconstructed signal, and improve the identification accuracy of modal parameters, especially the damping ratio.
Need to check novelty before this filing date? Find Prior Art