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Research on Inductive Method of Random Data Coherence Function Spectrum |
Received:September 03, 2020 Revised:October 20, 2020 |
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DOI:10.7643/issn.1672-9242.2021.04.013 |
KeyWord:multi-axis vibration multi-support excitation coherence function inductive method statistical tolerance method |
Author | Institution |
ZOU Xue-li |
China Aerospace Science & Industry Corp Defense Technology R & T Center, Beijing , China |
ZHANG Guo-qiang |
China Aerospace Science & Industry Corp Defense Technology R & T Center, Beijing , China |
WANG Gang |
China Aerospace Science & Industry Corp Defense Technology R & T Center, Beijing , China |
ZHANG Sheng-peng |
China Aerospace Science & Industry Corp Defense Technology R & T Center, Beijing , China |
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Abstract: |
In order to study the inductive method of coherence function spectrum and improve the authenticity of multi-support and multi-axial vibration test on simulating real environment.By analyzing the statistical distribution law of coherence function, this paper proposes a statistical tolerance method based on measured data to formulate coherence function spectrum. Because of the particularity of the influence of coherence function on the experimental magnitude, the tolerance interval of coherence function is analyzed instead of the traditional method of analyzing upper limit of tolerance, and the method of upper and lower tolerance spectra of coherence function are given.The experimental data of a certain type of product shows that the method is effective and feasible. By using the method of tolerance interval estimation, the error between the experimental value and the measured value of the coherence function is reduced, and the requirement of improving the authenticity of the experimental environment to the actual environment simulation is achieved. |
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