Roof Crack Detection & Face Material Characterization Via Thermal Imaging

2022 ◽  
pp. 163-177
Author(s):  
Tobias Wendel-Eichholz ◽  
Ralph Baltes ◽  
Tobias Mathiak ◽  
Thomas Andreßen ◽  
Elisabeth Clausen
Keyword(s):  
Thermal Imaging ◽  
Material Characterization ◽  
Crack Detection

scholarly journals Infrared Thermal Imaging-Based Crack Detection Using Deep Learning

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 182060-182077 ◽  
Author(s):  
Jun Yang ◽  
Wei Wang ◽  
Guang Lin ◽  
Qing Li ◽  
Yeqing Sun ◽  
...  
Keyword(s):  
Deep Learning ◽  
Thermal Imaging ◽  
Crack Detection ◽  
Infrared Thermal Imaging

scholarly journals A New GAN-Based Approach to Data Augmentation and Image Segmentation for Crack Detection in Thermal Imaging Tests

2021 ◽  
Author(s):  
Lulu Tian ◽  
Zidong Wang ◽  
Weibo Liu ◽  
Yuhua Cheng ◽  
Fuad E. Alsaadi ◽  
...  
Keyword(s):  
Feature Extraction ◽  
Image Segmentation ◽  
Thermal Imaging ◽  
Crack Detection ◽  
Data Augmentation ◽  
Thermal Environment ◽  
Generative Adversarial Network ◽  
Penalty Term ◽  
Adversarial Network ◽  
Imaging Test

AbstractAs a popular nondestructive testing (NDT) technique, thermal imaging test demonstrates competitive performance in crack detection, especially for detecting subsurface cracks. In thermal imaging test, the temperature of the crack area is higher than that of the non-crack area during the NDT process. By extracting the features of the thermal image sequences, the temperature curve of each spatial point is employed for crack detection. Nevertheless, the quality of thermal images is influenced by the noises due to the complex thermal environment in NDT. In this paper, a modified generative adversarial network (GAN) is employed to improve the image segmentation performance. To improve the feature extraction ability and alleviate the influence of noises, a penalty term is put forward in the loss function of the conventional GAN. A data preprocessing method is developed where the principle component analysis algorithm is adopted for feature extraction. The data argumentation technique is utilized to guarantee the quantity of the training samples. To validate its effectiveness in thermal imaging NDT, the modified GAN is applied to detect the cracks on the eddy current pulsed thermography NDT dataset.

scholarly journals A Defect Detection Method for the Surface of Metal Materials Based on an Adaptive Ultrasound Pulse Excitation Device and Infrared Thermal Imaging Technology

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Yibo Ai ◽  
Yingjie Zhang ◽  
Xingzhao Cao ◽  
Weidong Zhang
Keyword(s):  
Thermal Imaging ◽  
Crack Detection ◽  
Control Method ◽  
Three Dimensional ◽  
Resonance State ◽  
Ultrasonic Pulse ◽  
Operating Conditions ◽  
Pulse Excitation ◽  
Infrared Thermal Imaging ◽  
Imaging Technology

Ultrasonic excitation has been widely used in the detection of microcracks on metal surfaces, but there are problems such as poor excitation effect of ultrasonic pulse, long time to reach the best excitation, and difficult to find microcracks. In this paper, an adaptive ultrasonic pulse excitation device and infrared thermal imaging technology have been combined, as well as their control method, to solve the problem. The adaptive ultrasonic pulse excitation device adds intelligent modules to realize automatic adjustment of detection parameters, which can quickly obtain reliable excitation; the multidegree-of-freedom base realizes the three-dimensional direction change of the ultrasonic gun to adapt to different excitation occasions. When the appropriate ultrasonic excitation makes microcracks in the resonance state, the microcracks can be frictionated, which produce heat rise with the temperature. Then, the microcrack defect can be detected by the infrared thermal instrument through the different surface temperatures with imaging recognition method. Our detection experiments of the titanium alloy plates and the aluminum alloy profiles of marine engineering show that the method can get reliable detection parameters in a short time and measure the crack length effectively. It can be used in many aspects such as crack detection in mechanical structures or complex equipment operating conditions and industrial production processes.

Three-Dimensional Ultrasonic Crack Detection in Anisotropic Materials

1997 ◽  
Vol 9 (2) ◽  
pp. 59-79 ◽  
Author(s):  
J. Mattsson ◽  
A. J. Niklasson ◽  
A. Eriksson
Keyword(s):  
Crack Detection ◽  
Three Dimensional ◽  
Anisotropic Materials

Status of nondestructive control of transport function metal products at JSC EVRAZ NTMK

2020 ◽  
Vol 76 (6) ◽  
pp. 586-590
Author(s):  
S. P. Bersenev ◽  
E. M. Slobtsova
Keyword(s):  
Crack Detection ◽  
Middle Part ◽  
Control Line ◽  
Magnetic Powder ◽  
Nondestructive Control ◽  
Automated Control ◽  
Ultrasonic Control ◽  
Acoustic Contact ◽  
In Series

Achievements in the area of automated ultrasonic control of quality of rails, solid-rolled wheels and tyres, wheels magnetic powder crack detection, carried out at JSC EVRAZ NTMK. The 100% nondestructive control is accomplished by automated control in series at two ultrasonic facilities RWI-01 and four facilities УМКК-1 of magnetic powder control, installed into the exit control line in the wheel-tyre shop. Diagram of location, converters displacement and control operations in the process of control at the facility RWI-01 presented, as well as the structural diagram of the facility УМКК-1. The automated ultrasonic control of rough tyres is made in the tyres control line of the wheel-tyre shop at the facility УКБ-1Д. The facility enables to control internal defects of tyres in radial, axis and circular directions of radiation. Possibilities of the facility УКБ-1Д software were shown. Nondestructive control of railway rails is made at two facilities, comprising the automated control line of the rail and structural shop. The УКР-64Э facility of automated ultrasonic rails control is intended to reveal defects in the area of head, web and middle part of rail foot by pulse echo-method with a immersion acoustic contact. The diagram of rail P65 at the facility УКР-64Э control presented. To reveal defects of the macrostructure in the area of rail head and web by mirror-shadow method, an ultrasonic noncontact electromagnetic-acoustic facility is used. It was noted, that implementation of the 100% nondestructive control into the technology of rolled stuff production enabled to increase the quality of products supplied to customers and to increase their competiveness.

Computerized Thermal Imaging

2020 ◽  
Author(s):  
Keyword(s):  
Thermal Imaging
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