Multimodal signal analysis and separation method, device, equipment and storage medium

Abstract

The invention discloses a method, device, equipment and storage medium for analyzing and separating multimodal signals. The method includes: decomposing the multimodal frequency measurement signal to obtain the first modal component signal. The multimodal frequency measurement signal is First time-domain signal; judge whether the first modal component signal is a single-mode component signal, if so, then determine that the first modal component signal is decomposed correctly, and generate the first modal component signal based on the first time-domain signal and the first modal component signal The time-domain signal to be decomposed in the next decomposition; if not, perform band-pass filtering on the first modal component signal with modal aliasing to obtain an updated single-mode component signal, and generate it for the next time The decomposed time-domain signal to be decomposed; judge whether the time-domain signal to be decomposed meets the termination condition of the modal component decomposition, if not, repeat the above steps to continue the decomposition until the complete decomposition of each modal component signal. It solves the problem of accurate separation of single-frequency modal components in multi-mode frequency measurement signals.

Description

technical field [0001] The invention relates to the field of modal parameter identification of aero-engine components, in particular to a multi-modal signal analysis and separation method, device, equipment and storage medium. Background technique [0002] Modal parameter identification is a necessary means to understand the vibration characteristics of mechanical parts. Modal parameter identification mainly includes the identification of frequency, damping and mode shape, among which the accurate identification of damping is more difficult. The damping of mechanical parts is of great significance for suppressing mechanical vibration and noise, enhancing the reliability and stability of mechanical parts, and prolonging their service life. [0003] The traditional modal parameter identification mainly adopts the method of modal test, relying on the existing modal test software to directly obtain the modal parameters of mechanical parts. This method first needs to measure the...

AI Technical Summary

Problems solved by technology

[0019] The present invention provides a multi-modal signal analysis and separation method, device, equipment and storage medium to solve the problem that each modal signal in the existing multi-modal signal cannot be accurately separated, resulting in the modal parameters of the single-frequency modal component Technical issues that cannot be accurately identified

Images