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Time-frequency analysis method of ocean structure based on moving average and energy pooling

A technology of ocean structure and moving average, applied in pattern recognition, instrumentation, calculation, etc. in signals, can solve problems such as modal aliasing, lack of mathematical reasoning, difficulty in obtaining the expression of intrinsic mode functions, etc., and achieve application value High and broad engineering application prospects, the effect of avoiding modal aliasing

Active Publication Date: 2021-08-17
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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  • Time-frequency analysis method of ocean structure based on moving average and energy pooling
  • Time-frequency analysis method of ocean structure based on moving average and energy pooling
  • Time-frequency analysis method of ocean structure based on moving average and energy pooling

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[0067] 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.

[0068] 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 time-frequency analysis method of ocean structure based on moving average and energy collection, which applies a sliding window on the time axis to consider the non-stationary and nonlinear characteristics of the signal; applies complex exponential decomposition technology to obtain a stable signal on the frequency axis Extremum and residue, the inherent mode function of the entire time period is obtained through energy imputation technology, and then the Hilbert transform is used as a bridge to obtain the time-frequency distribution diagram. The invention not only solves the deficiency of traditional complex exponential decomposition into a single mode, but also overcomes the problem of mode aliasing in empirical mode decomposition, and significantly improves the accuracy of time-frequency analysis; in engineering, it includes floating platforms and The time-frequency analysis of floating marine structures including floating wind power provides a new analysis method, which can provide new technical means for the design and detection of related structures, and has broad engineering application prospects.

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 Patents(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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