Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Infrared nondestructive testing method based on thermal image time sequence characteristics

An infrared non-destructive testing and timing technology, applied in the direction of optical testing flaws/defects, etc., can solve the problems of poor recognition effect of single image processing and lack of feature information, and achieve the effect of accurate effect, wide detection range and simple operation.

Inactive Publication Date: 2013-12-11
EAST CHINA JIAOTONG UNIVERSITY
View PDF2 Cites 32 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The invention effectively solves the problem of lack of feature information and poor recognition effect of single image processing in traditional methods

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Infrared nondestructive testing method based on thermal image time sequence characteristics
  • Infrared nondestructive testing method based on thermal image time sequence characteristics
  • Infrared nondestructive testing method based on thermal image time sequence characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0028] The present invention includes the following steps:

[0029] 1. Infrared time series heat map collection

[0030] First, use a thermal excitation source 10cm away from the specimen to heat the defective surface of the specimen for 20 minutes; secondly, the infrared thermal imager is used to automatically collect the infrared time series heat map of the specimen during the cooling process, with an interval of 30s.

[0031] The gray level of the infrared heat map directly reflects the temperature and its distribution characteristics. Therefore, the greater the temperature difference, the greater the contrast of the image, the more conducive to identifying the target. A pixel on the thermal image Gray value at f(i,j) And the temperature value T(i,j) The following relationships exist:

[0032]

[0033] Where f(i,j) Is a grayscale image, T(i,j) Is the thermal field of the image, T Is the highest temperature of the infrared thermal image, T Is the lowest temperature of the inf...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

PUM

No PUM Login to View More

Abstract

The invention discloses an infrared nondestructive testing method based on thermal image time sequence characteristics. The new method with pixel as a unit is used for the infrared nondestructive test of flaws and is based on thermal image time sequence characteristics and PNN (probabilistic neural network). The infrared nondestructive testing method comprises the following steps: firstly, obtaining an infrared time sequence thermal image of a heating test piece in a cooling process by an infrared thermal imager; secondly, extracting the gray values of normal and abnormal areas in the time sequence thermal image, establishing the relationship between the gray values of different areas and time and then obtaining the corresponding initial time sequence characteristics; thirdly, reducing the dimensions of the initial characteristics by adopting main constituent analysis so as to obtain the time sequence characteristics; and finally establishing the probabilistic neural network with the time sequence characteristics as training samples.

Description

Technical field [0001] The invention relates to an infrared non-destructive detection method, in particular to an infrared non-destructive detection method based on the time sequence characteristics of a heat map. Background technique [0002] Infrared non-destructive testing is a non-destructive testing method that has developed rapidly in recent years. Compared with conventional eddy current, ray and other testing technologies, this testing technology is non-contact, full-field, large-area, fast, intuitive, and easy to achieve automatic testing. After the infrared image is processed by special software, defects can be identified. In addition, there are no special requirements for the surrounding environment during testing. The equipment is light and movable, which is especially suitable for field applications and online and in-service inspections. . In foreign countries, this technology has been used for non-destructive testing of metal and non-metal materials and their compos...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More

Application Information

Patent Timeline
no application Login to View More
Patent Type & Authority Applications(China)
IPC IPC(8): G01N21/88
Inventor 周建民李鹏符正晴蔡莉胡林海尹洪妍
Owner EAST CHINA JIAOTONG UNIVERSITY
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products