Maritime work structure actual measurement signal maximum energy iterative extraction method

Abstract

The invention relates to a maritime work structure actual measurement signal maximum energy iterative extraction method. The method comprises the steps of calculating an autocorrelation function of anoriginal dynamic response signal, solving power spectral density, and determining a maximum energy component in the original dynamic response signal; discretizing the original dynamic response signal, performing complex exponential fitting under a low-order state space model, and extracting the maximum energy component in the original dynamic response signal; setting a decomposition stop criterion, increasing the order of the state space model, repeating the decomposition process, and quantifying the decomposition precision; reconstructing the maximum component, replacing the original dynamicresponse signal with a residual dynamic response signal, repeating the decomposition process, iteratively extracting the maximum energy component of the residual dynamic response signal, and realizing the complete decomposition of the original dynamic response signal. The maximum energy component in each decomposition is determined based on a power spectral density function of the dynamic response, and the maximum energy component in the response is iteratively extracted in sequence by controlling the extraction precision, so that the decomposition precision is improved.

Description

technical field [0001] The invention belongs to the technical field of signal decomposition, and in particular relates to a method for iteratively extracting the maximum energy of a marine structure measured signal. Background technique [0002] The dynamic response of marine engineering structure contains structural information and excitation information at the same time. If the relevant information can be accurately extracted from the dynamic response signal of the structure, the relevant characteristics of the structure and excitation can be further obtained. Currently, the solution to this problem is by decomposing the raw dynamic response signal into a series of component components. However, due to the complex environment in which marine engineering structures are located and long-term combined effects of unstable wind, wave, current and other loads, the dynamic response obtained from the test contains a large number of noise components, and it is very difficult to use...

AI Technical Summary

Problems solved by technology

Although the empirical mode decomposition method is based on decomposing signals one by one from high frequency to low frequency, due to the influence of the complex marine environment in which marine engineering structures are located, the problem of mode aliasing usually occurs, which leads to poor decomposition effect, and even There is a problem of decomposition failure

[0004] In marine engineering, due to the complex marine environment, the measured signal of the structure usually contains a large number of noise components, and it is often difficult to achieve satisfactory accuracy when using the above two types of signal decomposition methods for analysis.

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