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Experimental device and method for frequency domain prediction of vibration response based on multiple linear regression

A multiple linear regression and vibration response technology, which is applied in vibration testing, measuring devices, testing of machines/structural components, etc., can solve problems such as impossibility, difficult measurement, and difficulty in obtaining system modeling transfer functions.

Active Publication Date: 2020-06-26
HUAQIAO UNIVERSITY
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

This method has two major disadvantages: first, for complex engineering structures, it is not easy to model the system and obtain the transfer function; second, it is very difficult or even impossible to measure the load case

Method used

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  • Experimental device and method for frequency domain prediction of vibration response based on multiple linear regression
  • Experimental device and method for frequency domain prediction of vibration response based on multiple linear regression
  • Experimental device and method for frequency domain prediction of vibration response based on multiple linear regression

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Experimental program
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Effect test

Embodiment 1

[0093] Embodiment 1: a kind of experimental device that multi-source load is applied jointly, such as figure 2 As shown, the vibration structure adopted is a simply supported beam with a small damping ratio and can be regarded as a linear structure. Two irrelevant excitation sources are used, one is the exciter excitation, and the other is the PCB hammer hammer excitation, that is, the irrelevant excitation source m=2, the experiment does not need to record the vibration excitation data of the excitation table and The excitation data of the hammer, but the unknown and direction of the excitation point of the excitation table and the excitation point of the hammer are required to be fixed, so as to ensure that the system is a time-invariant system. Six sensors are used to measure the vibration of the simply supported beam, which can reflect the main vibration direction of the beam. Two of the six sensors are used as unknown node sensors to predict the vibration response of mu...

Embodiment 2

[0094] Embodiment 2: An experimental data generation method for multi-point vibration response frequency domain prediction under the condition of unknown load, see Figure 3 to Figure 7 , the independent spherical noise excitation source excitation has 3 kinds of magnitudes of excitation, and the magnitude gradually increases; the vibration excitation of the independent suspension vibration table vibrator has 5 kinds of magnitudes of excitation, and the magnitude Gradually increase; when the noise excitation and vibration excitation are jointly loaded, the magnitudes of the noise excitation and vibration excitation are combined in pairs to form 15 different magnitudes, thus realizing the simulation of complex acoustic vibration environments for response prediction tests Research. Load the joint excitation of 15 different levels of noise excitation and vibration excitation on the acoustic vibration experimental device, respectively measure the excitation force of the vibration ...

Embodiment 3

[0095] Embodiment 3: according to the realization steps of the multi-point vibration response prediction method based on the multivariate linear regression equation and the generalized inverse of the least squares method, since the historical data has 14 groups in total, the number of all measuring points is 9, at first n= 9 response measurement points are grouped, and n is selected 1 =The response data of 7 measuring points is used as the response data of known measuring points, n 2 =The response data of 2 measuring points is used as the response data of unknown measuring points. The working condition environment t is used as the test data, and the relationship between the response and the response is trained with p=14 groups, that is, the response of two channels in the nine channels is predicted, and the attached Figure 8 There are two channels in the response prediction results and the real results comparison results, attached Figure 9 It is the decibel difference grap...

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Abstract

The present invention relates to an experimental apparatus for predicting the multi-point vibration response frequency domain under the condition of the unknown load; an experimental data generation method for predicting the multi-point vibration response frequency domain under the condition of the unknown load; and a method for predicting frequency domain vibration response of the unknown measure point according to the frequency domain vibration response of the known measure point by using the experimental apparatus and the experimental data, and by using the multiple linear regression model and the least squares generalized inverse method of the linear relationship between frequency domain response data under the unrelated multi-source unknown load combined excitation. The multiple linear regression model and the least squares generalized inverse method of the linear relationship between frequency domain response data are directly used instead of knowing or identifying the transfer function, the load size, or even the load position of the system. According to the technical scheme of the present invention, mainly for the environment of the unrelated multi-source unknown load combined excitation, vibration response prediction of the unknown node is carried out by using the vibration response prediction of the known measure point, so that vibration response situation of one unknown node and a plurality of unknown nodes can be predicted.

Description

technical field [0001] The present invention relates to an experimental device for multi-point vibration response frequency domain prediction under unknown load conditions, a method for generating experimental data for multi-point vibration response frequency domain prediction under unknown load conditions, and using the experimental device and experimental data in unrelated Under the joint excitation of multi-source unknown loads, the method of predicting the vibration response of unknown measuring points according to the vibration response of known measuring points of the system is to directly use the multivariate linear regression model of the linear relationship of response data and the least squares generalized inverse method. Background technique [0002] With the development and progress of industry and control technology, the development of engineering structures in the fields of aerospace, ships, large machinery, bridges, etc. is becoming more and more complex, large...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/20G01M7/02G06F30/13G06F30/15G06F30/17
CPCG01M7/025G06F30/13G06F30/15G06F30/17G06F30/20Y02T90/00
Inventor 王成詹威张忆文赖雄鸣何霆陈叶旺洪欣
Owner HUAQIAO UNIVERSITY
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