Commenced in January 2007
Paper Count: 32579
An Intelligent Nondestructive Testing System of Ultrasonic Infrared Thermal Imaging Based on Embedded Linux
Abstract:Ultrasonic infrared nondestructive testing is a kind of testing method with high speed, accuracy and localization. However, there are still some problems, such as the detection requires manual real-time field judgment, the methods of result storage and viewing are still primitive. An intelligent non-destructive detection system based on embedded linux is put forward in this paper. The hardware part of the detection system is based on the ARM (Advanced Reduced Instruction Set Computer Machine) core and an embedded linux system is built to realize image processing and defect detection of thermal images. The CLAHE algorithm and the Butterworth filter are used to process the thermal image, and then the boa server and CGI (Common Gateway Interface) technology are used to transmit the test results to the display terminal through the network for real-time monitoring and remote monitoring. The system also liberates labor and eliminates the obstacle of manual judgment. According to the experiment result, the system provides a convenient and quick solution for industrial non-destructive testing.
Digital Object Identifier (DOI): doi.org/10.5281/zenodo.2022098Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 832
 E G. Henneke, et al. “Thermography-an NDT method for damage detection.” J Metals. 31(9), p.11-15,1979.
 X. Han, “Finite Element Modeling of the Heating of Cracks During Sonic Infrared Imaging,” J. Appl. Phys. 99(7), p. 074905, 2006
 Solodov, Igor, et al. "Noncontact Sonic NDE and Defect Imaging Via Local Defect Resonance." J Nondestruct Eval. Vol.3, pp. 1-8,2016.
 Sonali, “An approach for de-noising and contrast enhancement of retinal fundus image using CLAHE.” Opt Laser Technol 2018, to be published
 S.-Q, “Disturbance rejection control for vibration suppression of smart beams and plates under a high frequency excitation,” J Sound Vib, vol. 353, pp. 19–37, 2015.
 S. Kapuria, “A nonlinear efficient layerwise finite element model for smart piezolaminated composites under strong applied electric field,” Smart Mater Struct, vol. 22, p. 055021, 2013.