| Hilbert-huang transform is one of the important theories in signal analysis field，it has widerange of applications in image processing, the structure detection and modal parametersidentification. The time domain method occupies an important position in the field of modalparameters identification, and Natural Excitation Technique is one of most use time domainmethod. This paper use the method which combined Hilbert-huang transform and idependentcomponent analysis to identify the different vibration’s parameters, and construct a structuredynamic model of plane based on the main population parameter and air test data, in the end,makes a preliminary study of modeling and optimization.This paper first introduces the development process and some latest research results of modalparameters identification and Hilbert-huang transform, and makes a simple analysis on the meritsof various modal parameters identification methods.Next, this paper introduces the basic theory of Hilbert-huang transform and made thedetailed analysis of empirical mode decomposition algorithm; then introduces the interpolationfitting envelope, end effect, the intrinsic mode function criterion and modal aliasing phenomenon,made the detailed analysis of the method which use control the end effect and modal aliasingphenomenon.Made the detailed analysis of using the method which combine the improved Hilbert-Huangtransformation and comprehensive empirical mode decomposition to identify the modalparameters of multi degree of freedom system under pulse excitation, then identify the modalparameters of single degree of freedom system, multi degree of freedom system and simplysupported beam, GARTEUR plane model, these results verify the reliably and accuracy of paper’smethod.In the end of this paper, it introduces that independent component analysis technique can beused in the identification of modal parameters, and uses examples to demonstrate its highaccuracy in the identification of modal parameters. |
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