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

Automatic identification method of thermography sequence defect signals in ultrasonic infrared nondestructive test

An infrared non-destructive testing and automatic identification technology, which is applied in the field of image processing, can solve the problems of not considering micro-cracks and not being able to correctly identify defect signals, etc.

Active Publication Date: 2012-08-08
CAPITAL NORMAL UNIVERSITY +2
View PDF4 Cites 23 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in practical applications, the interfering signal may have similar characteristics to those used in its method, so that the defect signal cannot be correctly identified
At the same time, it is only for one tested piece, and does not consider the problem of micro-cracks, while most of the applications and the most important application is for micro-crack detection

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
  • Automatic identification method of thermography sequence defect signals in ultrasonic infrared nondestructive test
  • Automatic identification method of thermography sequence defect signals in ultrasonic infrared nondestructive test
  • Automatic identification method of thermography sequence defect signals in ultrasonic infrared nondestructive test

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0040] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0041] In the embodiment of the present invention, a defective test piece is firstly selected, and thermal diffusion eigenvalues ​​are extracted from its heat map sequence, and based on these eigenvalues, automatic identification of defect signals in other experimental heat map sequences is realized. The selected specimen should have at least one defect, and there should be typical interference signals in its experimental heat map sequence, such as heat reflect...

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 automatic identification method of thermography sequence defect signals in an ultrasonic infrared nondestructive test. The automatic identification method is characterized in that an ultrasonic source is applied to a piece needing to be tested under conditions of certain frequency and pulse time and then heat is generated at defects due to friction or thermoelastic effects so that the change of a thermal field of a corresponding surface is caused; the change of the thermal field is recorded by a thermal imager and characteristic values of two-dimensional thermal diffusion are extracted; and through combination of image processing and a support vector machine algorithm, the automatic identification of thermography sequence defect signals in an ultrasonic infrared nondestructive test is realized effectively.

Description

technical field [0001] The invention relates to the field of image processing, in particular to an automatic identification method for heat map sequence defect signals in ultrasonic infrared nondestructive testing. Background technique [0002] Ultrasonic infrared non-destructive testing technology is a non-destructive testing technology developed and gradually matured at the end of the 20th century. This technology applies ultrasonic waves of a certain frequency to the test piece. The ultrasonic source is usually selected from an ultrasonic welding torch used for plastic welding. The parameters such as ultrasonic pulse time length, power and pressure can be adjusted according to the testing task. The detection principle is that the test piece vibrates under ultrasonic excitation, and the surface of the defect generates heat due to friction or thermoelastic effect. The infrared thermal imager is used to continuously observe and record the temperature field changes on the sur...

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
IPC IPC(8): G01N21/35G01N21/3563
CPCG01N25/72
Inventor 曾智王迅陶宁冯立春张存林
Owner CAPITAL NORMAL 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

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com