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Multi-region complex damage defect feature comprehensive analysis method

A comprehensive analysis and multi-area technology, applied in the field of comprehensive analysis of multi-area complex damage defect characteristics, can solve problems such as the difficulty of obtaining approximate frontier surface solutions, and achieve the goal of improving the ability to express details, improve the performance of defect feature representation, and improve the detection ability Effect

Active Publication Date: 2021-12-14
中国空气动力研究与发展中心超高速空气动力研究所
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AI Technical Summary

Problems solved by technology

However, because the evolution direction of the Chebyshev decomposition method is not along the linear evolution of the weight vector itself, it is difficult to obtain a uniform approximate frontier solution set when facing a multi-objective optimization problem higher than two dimensions

Method used

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  • Multi-region complex damage defect feature comprehensive analysis method
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  • Multi-region complex damage defect feature comprehensive analysis method

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Embodiment 1

[0238] Such as Figure 1-3 Shown: a kind of multi-area complex damage defect characteristic comprehensive analysis method of the present invention, comprises the following steps:

[0239] Step 1. Perform multiple infrared inspections on large-size specimens to obtain multiple thermal image sequences of large-scale specimens, and use infrared feature extraction and infrared thermal image reconstruction algorithms to obtain large-scale specimens from multiple thermal image sequences Multiple reconstructed infrared thermal images, the specific methods include:

[0240] Step S11, multiple thermal image sequences obtained from the infrared camera are set in a three-dimensional matrix {S 1 ,...,S i ,...,S |C|}, where S i Indicates the thermal image sequence obtained by the infrared thermal imager in the i-th infrared detection, |C| indicates the total number of thermal image sequences, S i (m,n,t) represents the temperature value at the coordinate position of the mth row and nt...

Embodiment 2

[0345] Such as Figure 16-18 Shown: a kind of comprehensive analysis and identification method of complex micro-damage defect feature of the present invention, comprises the following steps:

[0346] Step 1. The specific method of using infrared feature extraction and infrared thermal image reconstruction algorithm to obtain reconstructed images from the thermal image sequence also includes:

[0347] Step S11, based on the transient thermal response data extraction algorithm with block-variable step size, a valuable transient thermal response data set X(g) is extracted from the thermal image sequence S obtained by the infrared thermal imager, where , S(i,j,t) represents the pixel value of the i-th row and j-th column of the t-frame thermal image of the thermal image sequence, where t=1,...,T, T is the total number of frames, i=1 ,..., I, I is the total number of rows, j=1,..., J, J is the total number of columns;

[0348] Decompose the thermal image sequence into K distinct ...

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Abstract

The invention discloses a multi-region complex damage defect feature comprehensive analysis method, which comprises the following steps: acquiring an infrared thermal image sequence of a large-size test piece from infrared detection, and acquiring an infrared thermal reconstruction image of the large-size test piece from the infrared thermal image sequence; decomposing the infrared thermal reconstruction image into a base layer infrared thermal image and a detail layer infrared thermal image; obtaining a thermal amplitude fusion weight map between the base layer infrared thermal images and a thermal amplitude fusion weight map between the detail layer infrared thermal images through multi-target optimization guiding filtering; and fusing the detail layer thermal image information and the base layer thermal image information between the typical type defect thermal reconstruction images of different areas to obtain a base layer thermal image and a detail layer thermal image fusing the effective information of a plurality of multi-detection area reconstruction thermal images. According to the invention, the accuracy of the algorithm in coping with complex defect type discrimination is improved, the problem that the defect of a single detected image is incomplete is solved, and the defect edge definition and contrast of the fused image are improved.

Description

technical field [0001] The invention belongs to the technical field of defect detection, and more specifically, the invention relates to a comprehensive analysis method of multi-region complex damage defect characteristics based on multi-objective optimization and guided filtering. Background technique [0002] Pressure vessels are widely used in aerospace, energy chemical industry, metallurgical machinery and other fields, such as rocket fuel storage tanks, space station airtight cabins, etc., because they are often used to hold flammable and explosive liquids or gases with a certain pressure, so the It is very important to carry out security testing. Common types of defects in pressure vessels include fatigue crack defects, welding defects, corrosion defects, etc., and the corresponding conventional detection methods are relatively mature. However, for large pressure vessels with an inner diameter greater than or equal to 2 meters, it is very difficult to detect defects q...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/50G06F30/20G06F111/06
CPCG06T7/0004G06T5/50G06F30/20G06T2207/10048G06T2207/20221G06T2207/30164G06F2111/06
Inventor 黄雪刚谭旭彤殷春石安华雷光钰覃金贵李毅
Owner 中国空气动力研究与发展中心超高速空气动力研究所
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