Offshore platform vibration response de-noising method based on extremum-residue decomposition

An offshore platform, vibration response technology, applied in the fields of instruments, character and pattern recognition, computer parts, etc., can solve the problems of low computational efficiency, difficulty in selecting the wavelet kernel function, etc., to improve computational accuracy, facilitate signal reconstruction, and widen The effect of engineering application scope and application prospect

Active Publication Date: 2018-02-09
OCEAN UNIV OF CHINA
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an offshore platform vibration response denoising method based on extremum-residue decomposition for the shortcomings of traditional denoising methods such as SVD decomposition and wavelet decomposition, such as low calculation efficiency and difficulty in selecting wavelet kernel functions. , directly process the response signal without system information and kernel function. For longer data segments, use sliding window segment processing, which has high calculation efficiency and can provide a fast and effective signal denoising for marine structure test signals method

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  • Offshore platform vibration response de-noising method based on extremum-residue decomposition
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  • Offshore platform vibration response de-noising method based on extremum-residue decomposition

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[0035] In order to understand the above-mentioned purpose, features and advantages of the present invention more clearly, the present invention will be further described below in conjunction with the accompanying drawings and embodiments. It should be noted that, in the case of no conflict, the embodiments of the present application and the features in the embodiments can be combined with each other.

[0036] This embodiment proposes a method for denoising the vibration response of offshore platforms based on extremum-residue decomposition. Refer to figure 1 , including: step S1, data truncation; step S2, meaningful component selection; step S3, extremum-residue low-order state space solution and step S4, denoising signal reconstruction, specifically:

[0037] 1) The processing procedure of step S1 data truncation is as follows:

[0038] For raw response data y n (n=1, 2, ...), if the amount of data is large, it will lead to low calculation efficiency. In order to solve this...

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Abstract

The invention relates to an offshore platform vibration response de-noising method based on extremum-residue decomposition, which includes the steps of data interception, meaningful component selection, extremum-residue low-order state space solving, de-noising signal reconstruction, and the like. A response signal is directly processed, measured data is decomposed into a real component and a noise component, the extremum and residue of the real component are selected through a spectrum signal, and there is no need for system information or kernel function. For a long data segment, the data segment is processed section by section using a sliding window, a frequency window is created, the meaningful component of each section of data is selected according to an amplitude frequency diagram, and high computational efficiency is achieved. The method is suitable for the de-noising of response data of the majority of structures in engineering and the signal de-noising of high background noisedata, and has a wide engineering application range and a good application prospect.

Description

technical field [0001] The present invention relates to the field of response signal denoising, in particular to an offshore platform vibration response denoising method based on extremum-residue decomposition. Signal denoising of measured data. Background technique [0002] When testing marine structures, the response signal often contains a lot of environmental noise, which has a great impact on the subsequent processing of the response signal. Traditional signal denoising methods include low-rank approximation algorithm based on Singular Value Decomposition (SVD), wavelet denoising method, and Kalman filter. There are certain limitations. [0003] The low-rank approximation algorithm based on Singular Value Decomposition (SVD) is to decompose the Hankel matrix composed of response data by SVD, and the smaller singular value corresponds to the noise component, which is set to zero to achieve the purpose of noise elimination. Small signal denoising effect is ideal; but w...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/06G06F2218/08
Inventor 刘福顺卢洪超金磊陈杰峰刘程程齐聪山崔高杰高树健汪沐阳周星宇
Owner OCEAN UNIV OF CHINA
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