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A wavelet packet energy spectrum damage identification method

A damage identification and wavelet packet technology, which is applied in the field of signal analysis, can solve the problems that the dynamic response of the structure has a large impact on the environment, affects the dynamic response perception ability, and cannot realize the damage early warning of the structure. sexual effect

Active Publication Date: 2019-05-28
中国人民解放军海军勤务学院
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The traditional wavelet packet energy spectrum method has a strong dependence on environmental excitation and cannot realize early warning of structural damage
The dynamic response of the structure is greatly affected by the environment, especially the influence of the ambient temperature, which will seriously affect the ability of the existing technology to perceive the dynamic response caused by structural damage

Method used

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  • A wavelet packet energy spectrum damage identification method
  • A wavelet packet energy spectrum damage identification method
  • A wavelet packet energy spectrum damage identification method

Examples

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Effect test

Embodiment

[0046] Taking a numerical model simulation experiment as an example, the characteristics of wavelet packet energy spectrum are studied. The numerical model is a simple cantilever beam structure with a length of 15m, the cross-sectional size of the model is 0.3m×0.5m, and the density of the model material is 7800kg / m 3 , the modulus of elasticity is 2.1×10 11 pa, Poisson's ratio is 0.26, the numerical simulation experiment platform is the large-scale finite element software ABAQUS 6.9, the model is divided into 4 units, and the unit nodes are respectively S1, S2, S3 and S4, such as figure 1 shown.

[0047] The damage condition is simulated by reducing the stiffness of the unit, damage condition 1: the stiffness of unit 3 is reduced by 10%; damage condition 2: the stiffness of unit 3 is reduced by 30%. The reduction in stiffness is achieved by changing the modulus of elasticity.

[0048] Such as figure 1 As shown, the structure is stimulated, and the excitation position is a...

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Abstract

The invention discloses a wavelet packet energy spectrum method damage identification method. The method is characterized by using a Daubechies wavelet as a wavelet function of wavelet packet energy spectrum damage early warning, and using an lp norm entropy standard as a cost function to determine the order of the Daubechies wavelet; after the wavelet function and the decomposition level are determined, decomposing the structure dynamic response signal through a wavelet packet so as to construct a structure damage characteristic index, and respectively extracting a structure health state wavelet packet energy ratio Ih under each group of excitation signals; obtaining a damage early warning index ERVD relative to the average value according to the Ih; taking the virtual pulse response function as a wavelet packet decomposition object, and respectively solving the wavelet packet energy ratio Id under the structure damage state under each group of excitation signals; and finally, obtaining a damage early warning index ERVD of the Id relative to the Ih. According to the method, the online long-time observation is not needed, and the accumulated damage of the structure is better identified.

Description

technical field [0001] The invention relates to the field of signal analysis, and more specifically relates to a damage identification method of wavelet packet energy spectrum method. Background technique [0002] Wavelet is a time-frequency atom based on functional analysis, harmonic analysis, and Fourier analysis. It has good localization characteristics and multi-resolution characteristics in both time domain and frequency domain, and is known as the cornerstone of signal analysis. "Mathematical Microscope". [0003] Wavelet Analysis (Wavelet Analysis, WA, also called wavelet transform) was proposed by French geophysicist Morlet J in 1984 when analyzing seismic data. He then worked with Grossmann A to develop a geometric system of continuous wavelet transform, which decomposes any signal into contributions to space and scale. In 1985, Meyer Y, Grossmann A and Daubechies jointly conducted research, selected a discrete subset of the continuous wavelet space, and obtained ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 韦灼彬高屹吴森曹军宏
Owner 中国人民解放军海军勤务学院
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