Multi-type damage detection feature analysis method for large-size test piece

A technology of damage detection and feature analysis, applied in image analysis, computing models, biological models, etc., can solve problems such as missing defects, affecting the accuracy of defect quantitative analysis, and reducing detection integrity, so as to improve detection capabilities and detail performance ability, and the effect of improving the performance of defect characterization

Active Publication Date: 2021-12-07
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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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The fine defects that are smoothed out directly affect the accuracy of defect quantitative analysis, resulting in defect omission and the decline of detection integrity

Method used

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  • Multi-type damage detection feature analysis method for large-size test piece
  • Multi-type damage detection feature analysis method for large-size test piece
  • Multi-type damage detection feature analysis method for large-size test piece

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Embodiment 1

[0227] Such as Figure 1-3 Shown: a kind of large-size specimen multi-type damage detection characteristic analysis method of the present invention, comprises the following steps:

[0228] 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:

[0229] Step S11, using a three-dimensional matrix set {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) indicates the temperature value at the coordinate position of the mth row and nth column of the tth frame thermal image in the ith thermal image seq...

Embodiment 2

[0330] Such as Figure 16-19 Shown: a kind of multi-type damage detection image feature extraction recognition method of the present invention, comprises the following steps:

[0331] Step 1. Using infrared feature extraction and infrared thermal image reconstruction algorithm to obtain reconstructed infrared thermal images from the infrared thermal image sequence, the specific steps are:

[0332] 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 i (i = 1, ..., I) line (I is the total number of rows), the pixel value of the jth (j=1,...J) column (J is the total number of columns); the thermal image sequence is decomposed into K different data blocks by thresholding k S(i n , j m ,t) where k represents the kth sub-data block, i n , j m , t repr...

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Abstract

The invention discloses a multi-type damage detection feature analysis method for a large-size test piece. The method comprises the following steps: acquiring an infrared thermal reconstruction image of the large-size test piece from an infrared thermal image sequence; decomposing each infrared thermal reconstruction image into a base layer infrared thermal image and a detail layer infrared thermal image; respectively acquiring a thermal amplitude fusion weight map between the corresponding base layer infrared thermal images and a thermal amplitude fusion weight map between the detail layer infrared thermal images; 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 in different detection times in the large-size test piece, and combining the base layer thermal image and the detail layer thermal image after weighted averaging to obtain a final fusion detection infrared thermal image. According to the method, the steps of manually identifying the number of defect categories and judging the number of categories are omitted, noise and abnormal values are removed, the detection performance of a single thermal image is improved, 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 equipment defect detection, and more specifically, the invention relates to a feature analysis method for multi-type damage detection of a large-size test piece. Background technique [0002] Pressure vessels are widely used in aerospace, energy chemical industry, metallurgical machinery, etc. 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 quickly, comprehensively and meticulously detect defects. Infrared thermal imaging detection technology is an effective non-contact non-destructive detection method for damage defects of large pressure vessels. It obtains structural information of the materi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T7/00G06T5/00G06T5/20G06T5/50G06K9/62G06N3/00
CPCG06T7/0004G06T5/002G06T5/50G06T5/20G06N3/006G06T2207/10048G06T2207/20004G06T2207/20072G06T2207/20192G06T2207/20221G06F18/2323
Inventor 黄雪刚谭旭彤殷春石安华雷光钰罗庆姜林
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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