Method for detecting thermal imaging defects of high pressure vessel on basis of variable step size segmentation of lines

A high-pressure container and defect detection technology, applied in the field of defect detection, can solve problems such as long cycle, poor safety, and low efficiency

Active Publication Date: 2018-10-30
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

It does not damage the body, is fast and efficient, and can effectively solve the problems of traditional nondestructive testing methods such as high labor intensity, long cycle, low efficiency, and poor safety, and realize large-area rapid detection and save a lot of manpower and material resources.

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  • Method for detecting thermal imaging defects of high pressure vessel on basis of variable step size segmentation of lines
  • Method for detecting thermal imaging defects of high pressure vessel on basis of variable step size segmentation of lines
  • Method for detecting thermal imaging defects of high pressure vessel on basis of variable step size segmentation of lines

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Embodiment

[0072] figure 1 It is a flow chart of the high-pressure container thermal imaging defect detection method based on line-variable step-length segmentation in the present invention.

[0073] In this example, if figure 1 Shown, a kind of PCC-based eddy current pulse thermal image defect feature extraction method of the present invention comprises the following steps:

[0074] S1. The eddy current pulse thermal image is represented by a three-dimensional matrix S, wherein S(i, j,:) represents the i-th row and the j-th column of the three-dimensional matrix S, and the third dimension represents time;

[0075] S2, in order to find the length of the region with the largest temperature difference on the horizontal axis, select the point S(I) with the largest pixel value from the three-dimensional matrix S zz ,J zz , T zz ), among them, I zz 、J zz and T zz Respectively represent the row corresponding value, column corresponding value and time corresponding value of the maximum p...

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Abstract

The invention discloses a method for detecting thermal imaging defects of a high pressure vessel on the basis of variable step size segmentation of lines. The method comprises the following steps: selecting the maximum pixel value point from an eddy current pulse thermal image, calculating a correlation coefficient according to the maximum pixel value point by utilizing a Pearson correlation coefficient method, and further obtaining the transformed step size; calculating transient thermal response of each pixel point in combination with the transformed step size, performing classification processing, and performing defuzzification on all the pixel points by utilizing a membership degree maximization criterion so as to obtain the category to which each pixel point belongs; finally, performing feature extraction after dimensionality reduction by adopting a Canny operator algorithm, so as to extract the defect features of the eddy current pulse thermal image.

Description

technical field [0001] The invention belongs to the technical field of defect detection, and more specifically relates to a thermal imaging defect detection method of a high-pressure container based on line-variable step-length segmentation. Background technique [0002] The manufacture of high-pressure vessels involves the cooperation of subject knowledge and professional technology in multiple industries, including: metallurgy, corrosion and protection, machining, safety protection, chemical industry, and testing. With the continuous advancement of technology in various industries in recent years, especially the development of metallurgy, machining, welding and non-destructive testing driven by the rapid development of computer technology, pressure vessel manufacturing technology has made great progress. [0003] Gas compression technology is widely used in natural gas vehicle filling stations and compressed air-powered vehicle filling stations, and natural gas vehicle fil...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01N25/72
CPCG01N25/72
Inventor 殷春张昊楠程玉华薛婷张博黄雪刚巩德兴
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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