Results 191 to 200 of about 995,675 (222)
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Thermal characterization of rods, tubes and spheres using pulsed infrared thermography
Journal of Physics D: Applied Physics, 2007In this work we analyse the accuracy of an extension of the flash method to measure the thermal diffusivity of rods, tubes and spheres, which was recently proposed by the authors. We have performed measurements in a wide set of calibrated samples of different sizes and we have found that a lower limiting size of the radius can be established for the ...
E Apiñaniz +5 more
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Multi-Pulse Infrared Thermography Applied to Improve Defect Detectability of Composites
Applied Mechanics and Materials, 2011Traditional pulse infrared thermography uses a single pulse with high energy to heat the specimen. For deeper or smaller defects, more energy must be conducted into the specimen to improve the detectability, which also may cause thermal impact damage in particular for composites.
Zheng Wei Yang +4 more
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Unsupervised Learning for Detection of Defects in Pulsed Infrared Thermography of Metals
2022 IEEE International Conference on Electro Information Technology (eIT), 2022Xin Zhang +3 more
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Study on the Properties of SCLAC Using Infrared Thermography and Ultrasonic Pulse Velocity
Journal of Testing and Evaluation, 2018Abstract A densified mixture design algorithm (DMDA) was employed to produce self-consolidating lightweight aggregate concrete (SCLAC). Lightweight aggregates with different particle densities were evaluated, and the batched water density and water-to-binder (w/b) ratio were varied.
Tung-Tsan Chen, Ying-Chun Hung
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Applied Soft Computing, 2019
Abstract This paper describes a method for segmenting electrical equipment fault with infrared thermography by using pulse-coupled neural networks. The pulse coupled neuron model used in PCNN is an optimization of the original neural model, in order to easily control and alter the behavior of neuron activity. In the receptive field, the image and its
Dongguo Zhou, Ming Chi
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Abstract This paper describes a method for segmenting electrical equipment fault with infrared thermography by using pulse-coupled neural networks. The pulse coupled neuron model used in PCNN is an optimization of the original neural model, in order to easily control and alter the behavior of neuron activity. In the receptive field, the image and its
Dongguo Zhou, Ming Chi
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Electrical Pulsed Infrared Thermography and Supervised Learning for PV Cells Defects Detection
Solar Energy Materials and Solar Cells, 2022Qingju Tang
exaly
Quantification of pulsed infrared thermography for composites
NDT & E International, 1993openaire +1 more source
Mammography, Thermography and Xerography
Ca-A Cancer Journal for Clinicians, 1967J Gershon-Cohen
exaly
Detection of gunshot residue by flash-pulse and long-pulse infrared thermography
Infrared Physics & TechnologyAlexey Moskovchenko +2 more
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