Marine structure time frequency analysis method based on moving average and energy gathering

An ocean structure, moving average technology, applied in signal pattern recognition, instrument, character and pattern recognition, etc., can solve the problems of modal aliasing, lack of mathematical reasoning, difficult to obtain the expression of inherent modal function, etc. Achieve the effect of overcoming modal aliasing and improving the accuracy of time-frequency analysis

Active Publication Date: 2018-11-23
OCEAN UNIV OF CHINA
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Problems solved by technology

However, Empirical Mode Decomposition is an empirical decomposition method, which lacks strict mathematical reasoning, and it is difficult to obtain the expression of the intrinsic mode function. At the same time, when the frequencies of the components in the signal are similar, the mode aliasing is very easy to occur. Phenomenon

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  • Marine structure time frequency analysis method based on moving average and energy gathering
  • Marine structure time frequency analysis method based on moving average and energy gathering
  • Marine structure time frequency analysis method based on moving average and energy gathering

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[0068] 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.

[0069] This embodiment proposes a time-frequency analysis method for ocean structures based on moving average and energy pooling, such as Figure 4 As shown, the verification idea of ​​the present invention is to obtain its time-frequency diagram by analyzing the expression of the intrinsic mode function of the signal; for the intrinsic mode function, it is obtained by the complex exponential decomposition technology based on the moving average instead of the empirical mode decomposition method, It overcomes the shortcomings of the traditional Hilbert-Huang transform that is pro...

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Abstract

The invention discloses a marine structure time frequency analysis method based on moving average and energy gathering. The method comprises the steps: adding a sliding window to the time axis so as to consider the non-steady and nonlinear characteristics of a signal; employing a complex exponential decomposition technology on the frequency axis to obtain the extreme values and residue of a steadysignal, obtaining an intrinsic mode function in the whole time period through the energy gathering technology, and then taking Hilbert transform as the bridge to obtain a time-frequency distributiondiagram. The method can problems that the conventional complex exponential decomposition technology is used for performing the decomposition of a single mode and the mode of the EMD (Empirical Mode Decomposition) is aliased, and remarkably improves the time-frequency analysis precision. In engineering, the invention provides a new analysis method for the time-frequency analysis of a floating-typemarine structure comprising a floating-type platform and a floating-type wind power unit, can provide a new technical means for the design and detection of related structures, and is better in engineering application prospect.

Description

technical field [0001] The invention relates to a time-frequency analysis method of ocean structure based on moving average and energy collection. Background technique [0002] At present, the time-frequency analysis methods for ocean structures are mainly divided into linear time-frequency analysis methods and nonlinear time-frequency analysis methods. Through time-frequency analysis of signals, a suitable time and frequency distribution can be constructed, which can represent the energy of the signal Or strength, can also be used to estimate the characteristic parameters of the signal. Traditional linear time-frequency analysis methods include short-time Fourier transform, wavelet transform, etc., which are converted from Fourier spectrum analysis, but they all use Fourier transform as their final theoretical basis, so they are used to analyze nonlinear signals It is easy to produce contradictory phenomena such as false signals and false frequencies. [0003] For the tim...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
CPCG06F2218/02G06F2218/10
Inventor 刘鹏刘福顺高树健卢洪超田哲王许洁崔高杰齐聪山王睿敏汪沐阳来庆昊
Owner OCEAN UNIV OF CHINA
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