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.
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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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