CN-121994438-A - Reconstruction generation method and system of ultra-high-si signal for vehicle structure vibration test

CN121994438ACN 121994438 ACN121994438 ACN 121994438ACN-121994438-A

Abstract

The invention discloses a reconstruction generation method and a reconstruction generation system of an ultra-high-frequency Gaussian signal for a vehicle structure vibration test, wherein the method comprises the following steps of S1, a signal acquisition module acquires power spectrum density data of automobile road excitation, S2, a data processing terminal generates a Gaussian vibration signal G (t) according to the received power spectrum density data, S3, an exponential parameter p is obtained through a preset nonlinear equation according to a target kurtosis K y required by the vehicle structure vibration test, S4, the data processing terminal generates a low-frequency Gaussian vibration signal G (t), and an amplitude modulation signal u (t) is generated according to the p value obtained through calculation. S5, generating an ultra-high-si signal Y (t), and S6, wherein the ultra-high-si signal Y (t) is used as an excitation signal required by a vehicle structure vibration test. The invention realizes the efficient on-line reconstruction of the ultra-high-signal and meets the structural vibration test requirements in the high-reliability fields such as automobile engineering and the like.

Inventors

XU FEI
WANG WENJIA

Assignees

盐城工学院

Dates

Publication Date: 20260508
Application Date: 20260409

Claims (9)

1. The reconstruction generation method of the ultra-high-si signal for the vibration test of the vehicle structure is realized by a vibration signal processing system, wherein the vibration signal processing system comprises a signal acquisition module and a data processing terminal, the signal acquisition module is in communication connection with the data processing terminal, and the data processing terminal is in communication connection with an external vibration test bed, and the method is characterized by comprising the following steps of: S1, the signal acquisition module acquires power spectrum density data of automobile road excitation and transmits the power spectrum density data to a data processing terminal; s2, the data processing terminal generates a Gaussian vibration signal G (t) with the mean value of 0 through inverse fast Fourier transform according to the received power spectrum density data; s3, testing the required target kurtosis according to the vibration of the vehicle structure The data processing terminal obtains an index parameter p through solving a preset nonlinear equation, wherein the nonlinear equation is that ; Wherein the method comprises the steps of Is a gamma function; S4, the data processing terminal generates a low-frequency Gaussian vibration signal G (t) independent of the Gaussian vibration signal G (t), the G (t) and the G (t) have the same time length, an amplitude modulation signal u (t) is generated according to the p value obtained by solving, ; S5, multiplying the Gaussian vibration signal G (t) by the amplitude modulation signal u (t) by the data processing terminal to generate target kurtosis required by vehicle structure vibration test Is a very high-si signal Y (t), ; S6, the data processing terminal transmits the generated ultra-high-si signal Y (t) to an external vibration test bed to serve as an excitation signal required by vehicle structure vibration test.
2. The method according to claim 1, wherein the signal acquisition module comprises an acceleration sensor and a spectrum analyzer, the acceleration sensor acquires a vibration original signal excited by an automobile road, and the spectrum analyzer converts the vibration original signal into power spectrum density data and transmits the power spectrum density data to the data processing terminal.
3. The method according to claim 1, wherein the data processing terminal is an industrial computer carrying a signal processing algorithm program, a gamma function calculation library and a nonlinear equation solving module are built in, and library functions are called to complete the solving of the index parameter p.
4. The method according to claim 1, wherein the low-frequency gaussian vibration signal G (t) has a frequency range of 0.01hz to 10hz and the gaussian vibration signal G (t) has a frequency range of 10hz to 5000hz, which are separated in frequency.
5. The method of claim 1, wherein the target kurtosis required for the vehicle structural vibration test The value range of (2) is 3.25-12.
6. The vibration signal processing system is characterized by comprising a signal acquisition module and a data processing terminal, wherein the signal acquisition module is in communication connection with the data processing terminal, and the data processing terminal is in communication connection with an external vibration test bed; The signal acquisition module is used for acquiring power spectrum density data of automobile road excitation and transmitting the power spectrum density data to the data processing terminal; the data processing terminal is configured to perform the following operations: s11, generating a Gaussian vibration signal G (t) with the mean value of 0 through inverse fast Fourier transform according to the received power spectrum density data; S12, testing required target kurtosis according to vehicle structure vibration The data processing terminal obtains an index parameter p through solving a preset nonlinear equation, wherein the nonlinear equation is that ; Wherein the method comprises the steps of Is a gamma function; S13, generating a low-frequency Gaussian vibration signal G (t) independent of the Gaussian vibration signal G (t), wherein the G (t) and the G (t) have the same time length, generating an amplitude modulation signal u (t) according to the p value obtained by solving, ; S14, multiplying the Gaussian vibration signal G (t) with the amplitude modulation signal u (t) to generate target kurtosis required by vehicle structure vibration test Is a very high-si signal Y (t), ; The data processing terminal transmits the generated ultra-high-si signal Y (t) to an external vibration test stand as an excitation signal required for vibration testing of the vehicle structure.
7. The system of claim 6, wherein the signal acquisition module comprises an acceleration sensor and a spectrum analyzer, the acceleration sensor is used for acquiring vibration original signals excited by the automobile road, and the spectrum analyzer is used for converting the vibration original signals into power spectral density data and transmitting the power spectral density data to the data processing terminal.
8. The system according to claim 6, wherein the data processing terminal is an industrial computer carrying a signal processing algorithm program, a gamma function calculation library and a nonlinear equation solving module are built in, and library functions are called to complete the solving of the exponential parameter p.
9. The system of claim 6, wherein the low-frequency gaussian vibration signal G (t) has a frequency range of 0.01hz to 10hz and the gaussian vibration signal G (t) has a frequency range of 10hz to 5000hz, which are separated by frequency.

Description

Reconstruction generation method and system of ultra-high-si signal for vehicle structure vibration test Technical Field The invention relates to the technical field of vehicle structure vibration test, in particular to a method and a system for reconstructing and generating an ultra-Gaussian signal for vehicle structure vibration test, which are suitable for vibration test of mechanical structures such as a vehicle frame, a suspension and the like, wherein the ultra-Gaussian signal is used as an excitation signal required by the vehicle structure vibration test. Background In the field of high reliability of automobile engineering and the like, the problem of fatigue damage of a vehicle structure under the action of complex random load is always an important factor affecting the service performance and service life evaluation accuracy of the vehicle. In order to realize reliable fatigue analysis and life prediction, the key point is to reasonably characterize and effectively reconstruct the actual vehicle service load. Current vehicle structural vibration tests mostly use random signals subject to gaussian distribution as input. However, a large number of actual measurement results show that obvious super-Gaussian features are commonly existing in actual road excitation, and probability distribution of the super-Gaussian features is obviously different from Gaussian distribution on high-order statistical indexes such as kurtosis and the like. The super-gaussian excitation tends to result in a vehicle structural response with greater peak stress and higher risk of fatigue damage. If still modeled with Gaussian assumptions or vibration test experiments are performed, the probability of occurrence of high magnitude events will be underestimated, resulting in fatigue life prediction bias. In addition, for vehicles running on complex terrains, after the ultra-high-speed vibration excitation signal introduced by the ground is amplified by the suspension, the vehicles can generate severe vibration, and even the suspension breaks in severe cases, so that serious safety accidents are caused. In order to more realistically reproduce such complex excitation environments, researchers have proposed various ultra-high-si random signal synthesis methods, such as polynomial transformation, phase modulation, poisson pulse, and amplitude modulation. The amplitude modulation method is widely used because the kurtosis can be flexibly controlled and the amplitude modulation method is easy to realize. The method generates an ultra-high signal having a target kurtosis by multiplying a stationary gaussian signal with a slowly varying amplitude modulated signal. However, the conventional amplitude modulation method requires multiple iterations, has low efficiency, and cannot realize online reconstruction of the ultra-Gaussian signal. Disclosure of Invention The invention aims to solve the technical problem of providing a method and a system for reconstructing and generating an ultra-high-si signal for a vehicle structure vibration test, wherein the generated ultra-high-si signal is used as an excitation signal required by the vehicle structure vibration test. The technical scheme adopted for solving the technical problems is that in the first aspect, the reconstruction generation method of the ultra-high-si signal used for the vibration test of the vehicle structure is realized by a vibration signal processing system, the vibration signal processing system comprises a signal acquisition module and a data processing terminal, the signal acquisition module is in communication connection with the data processing terminal, the data processing terminal is in communication connection with an external vibration test bed, and the method comprises the following steps: S1, the signal acquisition module acquires power spectrum density data of automobile road excitation and transmits the power spectrum density data to a data processing terminal; s2, the data processing terminal generates a Gaussian vibration signal G (t) with the mean value of 0 through inverse fast Fourier transform according to the received power spectrum density data; s3, testing the required target kurtosis according to the vibration of the vehicle structure The data processing terminal obtains an index parameter p through solving a preset nonlinear equation, wherein the nonlinear equation is that; Wherein the method comprises the steps ofIs a gamma function; S4, the data processing terminal generates a low-frequency Gaussian vibration signal G (t) independent of the Gaussian vibration signal G (t), the G (t) and the G (t) have the same time length, an amplitude modulation signal u (t) is generated according to the p value obtained by solving, ; S5, multiplying the Gaussian vibration signal G (t) by the amplitude modulation signal u (t) by the data processing terminal to generate target kurtosis required by vehicle structure vibration testIs a very high-si signal Y (t),;