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Journal articles on the topic 'Thermographie inductive'

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1

Liu, Xingliang, Guiyun Tian, Yu Chen, Haoze Luo, Jian Zhang, and Wuhua Li. "Non-Contact Degradation Evaluation for IGBT Modules Using Eddy Current Pulsed Thermography Approach." Energies 13, no. 10 (2020): 2613. http://dx.doi.org/10.3390/en13102613.

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In this paper, a non-contact degradation evaluation method for insulated gate bipolar transistor (IGBT) modules is proposed based on eddy current pulsed thermography approach. In non-contact heat excitation procedures, a high-power induction heater is introduced to generate heat excitation in IGBT modules. The thermographs of the whole temperature mapping are recorded non-invasively by an IR camera. As a result, the joint degradation of IGBT modules can be evaluated by the transient thermal response curves derived from the recorded thermographs. Firstly, the non-destructive evaluation principl
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Mendioroz, Arantza, Lorenzo Fuggiano, Pablo Venegas, Idurre Sáez de Ocáriz, Umberto Galietti, and Agustín Salazar. "Characterizing Subsurface Rectangular Tilted Heat Sources Using Inductive Thermography." Applied Sciences 10, no. 16 (2020): 5444. http://dx.doi.org/10.3390/app10165444.

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In this study, we characterize the lateral dimension, depth, and inclination of buried tilted rectangular heat sources from time domain temperature data measured at the surface. The heat sources are representative for planar defects that emit heat in thermographic tests with internal burst excitation. We present a semi-analytical expression for the evolution of the surface temperature distribution. The emitted flux, dimensions and inclination of the heat source are determined by fitting the model to two perpendicular surface temperature profiles and the temperature history at one point of the
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Mahami, Amine, Chemseddine Rahmoune, Toufik Bettahar, and Djamel Benazzouz. "Induction motor condition monitoring using infrared thermography imaging and ensemble learning techniques." Advances in Mechanical Engineering 13, no. 11 (2021): 168781402110609. http://dx.doi.org/10.1177/16878140211060956.

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In this paper, a novel noncontact and nonintrusive framework experimental method is used for the monitoring and the diagnosis of a three phase’s induction motor faults based on an infrared thermography technique (IRT). The basic structure of this work begins with this applying IRT to obtain a thermograph of the considered machine. Then, bag-of-visual-word (BoVW) is used to extract the fault features with Speeded-Up Robust Features (SURF) detector and descriptor from the IRT images. Finally, various faults patterns in the induction motor are automatically identified using an ensemble learning c
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Kosec, Borut, Blaž Karpe, Mirko Gojić, et al. "Inductive Heating and Quenching of Planetary Shafts for Diesel Engine Starters." Advanced Technologies & Materials 48, no. 2 (2023): 55–61. http://dx.doi.org/10.24867/atm-2023-2-003.

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High mechanical and temperature cyclic loading of the final products for automotive, transport, construction and agriculture mechanization industry, demands sufficient mechanical properties of all of their components during its exploitation. Majority of the components is made of steel, by different cold forming processes. Their main demanded characteristics are surface wear resistance and fatigue strength under pulsating stress in combination with cyclic temperature loading, which could be achieved only by appropriate heat treatment. The efficiency of the combined inductive heating and water q
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Naveenkumar, Pushpalatha, and Sudha Mohanram. "An Empirical Performance Assessment of Infrared Thermography for Real-time Monitoring of Electrical Systems in the Coco Fibre Industry." Proceedings of the Bulgarian Academy of Sciences 76, no. 4 (2023): 597–604. http://dx.doi.org/10.7546/crabs.2023.04.12.

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The quality of the electrical network, which includes MV panels, DBs, MCBs, sub-circuits with fuse units, and electrical motors for machine tools, determines production in any sector. Most drive systems employ inductionmotors. System temperature indicates health. Excess temperature is rarely detected due to breakdown. This case study presents real-time data for a leading coir industry from each electrical circuit and motor in several machine tools. Every section is thermographed and compared to the allowed temperature range. Thermographic analysis is non-contact and uses fewer meters and instr
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Resendiz-Ochoa, Emmanuel, Salvador Calderon-Uribe, Luis A. Morales-Hernandez, Carlos A. Perez-Ramirez, and Irving A. Cruz-Albarran. "Multiple Electromechanical-Failure Detection in Induction Motor Using Thermographic Intensity Profile and Artificial Neural Network." Machines 12, no. 12 (2024): 928. https://doi.org/10.3390/machines12120928.

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The use of artificial intelligence-based techniques to solve engineering problems is increasing. One of the most challenging tasks facing industry is the timely diagnosis of failures in electromechanical systems, as they are an essential part of production systems. In this sense, the earlier the detection, the higher the economic loss reduction. For this reason, this work proposes the development of a new methodology based on infrared thermography and an artificial intelligence-based classifier for the detection of multiple faults in an electromechanical system. The proposal combines the inten
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7

Tuschl, Christoph, Beate Oswald-Tranta, and Sven Eck. "Scanning Inductive Thermographic Surface Defect Inspection of Long Flat or Curved Work-Pieces Using Rectification Targets." Applied Sciences 12, no. 12 (2022): 5851. http://dx.doi.org/10.3390/app12125851.

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Inductive thermography is an NDT method, which can be excellently used to inspect long metallic specimens (such as railway tracks) to detect surface defects. Aiming at the inspection of railway tracks in service with a movable setup, the method had to be advanced from a stationary application to a scanning setup. This work presents methods for using calibration targets for rectification, in order to improve the quality of the resulting images. Two scanning techniques are presented for detecting different types of rolling contact fatigue (RCF) defects on rail pieces. In the case of the first me
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8

Xia, Hui, Erlong Li, Jianbo Wu, et al. "Scanning induction thermography for subsurface defect orientation detection and depth quantification." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (2020): 869–77. http://dx.doi.org/10.3233/jae-209400.

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Pulsed eddy current thermography (PECT) and eddy current lock-in thermography (ECLIT) are non-destructive testing (NDT) techniques of high promising and interest in subsurface defect detection. In the previous researches, the induction coil was set above the defect region and it always parallel to the defect orientation. However, the location and orientation of subsurface defects cannot be determined before detection. Therefore, the scanning induction thermography (SIT) based on dynamic thermography is proposed by some researchers to localize and distinguish the subsurface defects. Still, the
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9

Tuschl, Christoph, Beate Oswald-Tranta, and Sven Eck. "Inductive Thermography as Non-Destructive Testing for Railway Rails." Applied Sciences 11, no. 3 (2021): 1003. http://dx.doi.org/10.3390/app11031003.

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Inductive thermography is a non-destructive testing method, whereby the specimen is slightly heated with a short heating pulse (0.1–1 s) and the temperature change on the surface is recorded with an infrared (IR) camera. Eddy current is induced by means of high frequency (HF) magnetic field in the surface ‘skin’ of the specimen. Since surface cracks disturb the eddy current distribution and the heat diffusion, they become visible in the IR images. Head checks and squats are specific types of damage in railway rails related to rolling contact fatigue (RCF). Inductive thermography can be excelle
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10

Lee, Seungju, Yoonjae Chung, and Wontae Kim. "Enhancing Inductive IR Thermography by Using FFT-Equalization, Motion Tracking Detection and VDSR Super-resolution Processing." International Journal of Precision Engineering and Manufacturing-Smart Technology 2, no. 2 (2024): 133–42. http://dx.doi.org/10.57062/ijpem-st.2024.00108.

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Among non-destructive inspection techniques, infrared thermography stands out as a promising technology that enables real-time inspection of large areas without the need for physical contact. In this study, we employed the dynamic induction thermography method, which is one of the active infrared thermography techniques, to detect defects on the back side of the S275 material specimen. This technique involves creating relative movement between the IR camera and the specimen. We acquired sequence images at different moving speeds using the induction thermography technique, and then used the FFT
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Cheng, Yuhua, Libing Bai, Fan Yang, Yifan Chen, Shenhua Jiang, and Chun Yin. "Stainless Steel Weld Defect Detection Using Pulsed Inductive Thermography." IEEE Transactions on Applied Superconductivity 26, no. 7 (2016): 1–4. http://dx.doi.org/10.1109/tasc.2016.2582662.

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12

Zuo, Xianzhang, Benchu Song, Yongjiang Hu, and Yunze He. "Detection Mechanism of Parallel Defect using Scanning Inductive Thermography." IOP Conference Series: Materials Science and Engineering 207 (June 2017): 012090. http://dx.doi.org/10.1088/1757-899x/207/1/012090.

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13

Verspeek, Simon, Bart Ribbens, Xavier Maldague, and Gunther Steenackers. "Spot Weld Inspections Using Active Thermography." Applied Sciences 12, no. 11 (2022): 5668. http://dx.doi.org/10.3390/app12115668.

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Spot welds have a significant part in the creation of automotive vehicles. Since the integrity of, for example, a car, is dependent on the performance of multiple welds, it is important to ensure the quality of each spot weld. Several attempts have been made in order to determine the quality of spot welds, but most of them do not focus on the applicability in the manufacturing process. Spot weld inspections are often performed using back heating. However, during manufacturing, robotic inspections are desired, and since the bodywork of a car is a complex shape, the accessibility from the inside
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14

Kranjc, Matej, Anze Zupanic, Damijan Miklavcic, and Tomaz Jarm. "Numerical analysis and thermographic investigation of induction heating." International Journal of Heat and Mass Transfer 53, no. 17-18 (2010): 3585–91. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2010.04.030.

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15

Lee, Seungju, Yoonjae Chung, and Wontae Kim. "Defect Recognition and Morphology Operation in Binary Images Using Line-Scanning-Based Induction Thermography." Applied Sciences 12, no. 12 (2022): 6006. http://dx.doi.org/10.3390/app12126006.

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Active infrared thermography is an attractive and highly reliable technique used for the non-destructive evaluation of test objects. In this paper, defect detection on the subsurface of the STS304 metal specimen was performed by applying the line-scanning method to induction thermography. In general, the infrared camera and the specimen are fixed in induction thermography, but the line-scanning method can excite a uniform heat source because relative movement occurs. After that, the local heating area due to Joule’s heating effect was removed, and filtering was applied for the 1st de-noising.
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16

Kim, Wontae. "Principle and Applications of Induction Infrared Thermography." Journal of the Korean Society for Nondestructive Testing 37, no. 1 (2017): 44–49. http://dx.doi.org/10.7779/jksnt.2017.37.1.44.

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17

Genest, Marc, and Gang Li. "Induction thermography of steel coupons with cracks." Applied Optics 57, no. 18 (2018): D40. http://dx.doi.org/10.1364/ao.57.000d40.

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18

ZHENG Wenpei, 郑文培, 孙小茹 SUN Xiaoru та 王梓凯 WANG Zikai. "压力容器小口径接管结构损伤涡流热成像检测技术研究". Infrared and Laser Engineering 54, № 6 (2025): 20250053. https://doi.org/10.3788/irla20250053.

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19

Noethen, Matthias, Yi Jia, and Norbert Meyendorf. "Simulation of the surface crack detection using inductive heated thermography." Nondestructive Testing and Evaluation 27, no. 2 (2012): 139–49. http://dx.doi.org/10.1080/10589759.2011.633605.

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20

Xiao, Xiang, Bin Gao, Gui yun Tian, and Ke qing Wang. "Fusion model of inductive thermography and ultrasound for nondestructive testing." Infrared Physics & Technology 101 (September 2019): 162–70. http://dx.doi.org/10.1016/j.infrared.2019.06.016.

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21

Rieger, Gernot. "Lockin and burst-phase induction thermography for NDE." Quantitative InfraRed Thermography Journal 3, no. 2 (2006): 141–54. http://dx.doi.org/10.3166/qirt.3.141-154.

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22

Ba, Abdoulaye, Huu Kien Bui, Gérard Berthiau, Didier Trichet, and Guillaume Wasselynck. "Simulation of induction thermography NDT technique using SIBC." COMPEL - The international journal for computation and mathematics in electrical and electronic engineering 39, no. 5 (2020): 1071–83. http://dx.doi.org/10.1108/compel-01-2020-0007.

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Purpose This paper aims to present a lightened 3D finite element model (FEM) for coupled electromagnetic thermal simulation of the induction thermography non-destructive testing (NDT) technique to reduce the computation time. Design/methodology/approach The time harmonic electromagnetic problem is expressed in A – ϕ formulation and lightened by using the surface impedance boundary condition (SIBC) applied to both the massive induction coil surface and the surface of conductor workpiece including open cracks. The external circuit is taken into account by using the impressed voltage or the impre
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23

Lee, Seung-Ju, Won-Tae Kim, and Hyun-Kyu Suh. "Correlation Data Augmentation-Based YOLO-Integrated Object Detection of Thermal-Equalization Video Using Line Scanning Inductive Thermography." Applied Sciences 14, no. 24 (2024): 11903. https://doi.org/10.3390/app142411903.

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Active infrared thermography (IRT) in non-destructive testing is an attractive technique used to detect wide areas in real-time on site. Most of the objects inspected on site generally have rough surfaces and foreign substances, which significantly affects their detectability. To solve this problem, in this study, line scanning (LS)-based induction thermography was used to acquire thermal image data of a specimen containing foreign substances. The heat distribution caused by foreign substances was removed using the Gaussian filtering-based Fast Fourier Transform (FFT) algorithm. After that, th
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24

Gao, Bin, Wai Lok Woo, Yunze He, and Gui Yun Tian. "Unsupervised Sparse Pattern Diagnostic of Defects With Inductive Thermography Imaging System." IEEE Transactions on Industrial Informatics 12, no. 1 (2016): 371–83. http://dx.doi.org/10.1109/tii.2015.2492925.

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25

Oswald-Tranta, B. "Lock-in inductive thermography for surface crack detection in different metals." Quantitative InfraRed Thermography Journal 16, no. 3-4 (2019): 276–300. http://dx.doi.org/10.1080/17686733.2019.1592391.

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26

Singh, Gurmeet, T. Ch Anil Kumar, and V. N. A. Naikan. "Induction motor inter turn fault detection using infrared thermographic analysis." Infrared Physics & Technology 77 (July 2016): 277–82. http://dx.doi.org/10.1016/j.infrared.2016.06.010.

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27

Li, Zhen, and Zhaozong Meng. "A Review of the Radio Frequency Non-destructive Testing for Carbon-fibre Composites." Measurement Science Review 16, no. 2 (2016): 68–76. http://dx.doi.org/10.1515/msr-2016-0010.

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AbstractThe purpose of this paper is to review recent research on the applications of existing non-destructive testing (NDT) techniques, especially radio frequency (RF) NDT, for carbon-fibre reinforced plastics (CFRP) composites. Electromagnetic properties of CFRP composites that are associated with RF NDT are discussed first. The anisotropic characteristic of the conductivity and the relationship between the penetration depth and conductivity should be paid much attention. Then, the well-established RF NDT including eddy current technique, microwave technique and RF-based thermography are wel
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Xia, Hui, Jianbo Wu, Zhaoyuan Xu, Jie Wang, and Chuanlei Wang. "Defect Visualization and Depth Quantification in Scanning Induction Thermography." IEEE Sensors Journal 21, no. 9 (2021): 10437–44. http://dx.doi.org/10.1109/jsen.2021.3060916.

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29

Oswald-Tranta, Beate. "Induction Thermography for Surface Crack Detection and Depth Determination." Applied Sciences 8, no. 2 (2018): 257. http://dx.doi.org/10.3390/app8020257.

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30

Netzelmann, Udo, Günter Walle, Sergey Lugin, Andreas Ehlen, Steffen Bessert, and Bernd Valeske. "Induction thermography: principle, applications and first steps towards standardisation." Quantitative InfraRed Thermography Journal 13, no. 2 (2016): 170–81. http://dx.doi.org/10.1080/17686733.2016.1145842.

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31

Zhao, Jian, Bin Gao, Wai Lok Woo, Fasheng Qiu, and Gui Yun Tian. "Crack Evaluation Based on Novel Circle-Ferrite Induction Thermography." IEEE Sensors Journal 17, no. 17 (2017): 5637–45. http://dx.doi.org/10.1109/jsen.2017.2723432.

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32

Buser, Y. M., E. T. M. Krämer, R. Akkerman, and W. J. B. Grouve. "Predictive Simulation of Induction Heating for Unidirectional Thermoplastic Composites – Characterisation, Validation and Process Sensitivity." SAMPE Journal 61, no. 4 (2025): 22–27. https://doi.org/10.33599/sj.v61no4.02.

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Advancing induction welding for unidirectional (ud) tape-based thermoplastic composites (tpcs) requires predictive capabilities regarding the heating response through physics-based numerical simulation. This research focuses on modelling induction heating enabled by accurate characterisation of the orthotropic electrical conductivity tensor. The obtained material data was used in comsol Multiphysics® for simulating the induction heating response of various ud-ply based lay-ups. These simulations were validated experimentally using infrared thermography. Furthermore, the validated model enabled
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33

Mendioroz, Arantza, Jon Pérez-Arbulu, and Agustín Salazar. "Sizing horizontal metallic inclusions in insulators using lock-in inductive infrared thermography." NDT & E International 145 (July 2024): 103139. http://dx.doi.org/10.1016/j.ndteint.2024.103139.

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34

Glowacz, Adam. "Thermographic fault diagnosis of electrical faults of commutator and induction motors." Engineering Applications of Artificial Intelligence 121 (May 2023): 105962. http://dx.doi.org/10.1016/j.engappai.2023.105962.

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35

Nobile, R., A. Saponaro, and A. Pirinu. "The use of induction heating for thermographic inspection of composite laminates." IOP Conference Series: Materials Science and Engineering 1275, no. 1 (2023): 012015. http://dx.doi.org/10.1088/1757-899x/1275/1/012015.

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Abstract In the present paper, an active thermographic technique is proposed for the inspection of a unidirectional GFRP panel with integrated artificial internal defects and an aeronautical CFRP panel with real small production defects. Different inductor geometries were considered by varying the length and the number of spires, finally allowing to identify the optimal solution. Several tests allowed to identify the optimal experimental setup for defect detection as a function of the location of the defect. The acquired thermal maps were processed in Matlab with a suitable analysis algorithm
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36

Joo, Young-Bok, and Nohyu Kim. "Induction Thermographic Inspection of Friction Welding Joints in Automobile Engine Valves." JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING 44, no. 6 (2024): 491–98. https://doi.org/10.7779/jksnt.2024.44.6.491.

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37

Widodo, Panut, Gunawan Dwi Haryadi, and Achmad Widodo. "Induction Motor Centrifugal Blower Health Diagnostic Based on Color Segmentation of Thermal Image and Vibration Signal Feature." MATEC Web of Conferences 159 (2018): 02002. http://dx.doi.org/10.1051/matecconf/201815902002.

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The rotating machinery requires condition monitoring which its measurement without being intrusive operation, especially on the equipment needed to continue running. One such machinery is a centrifugal blower induction motor. Infrared thermography and vibration are important and effective technologies to diagnose of health condition it without destructive or disturb of operations. The diagnostics of induction motor are based on the analysis results data onto vibration and processing thermal image. This paper focused on thermography image processing based on color segmentation which it will pro
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He, Yunze, Mengchun Pan, and Feilu Luo. "Defect characterisation based on heat diffusion using induction thermography testing." Review of Scientific Instruments 83, no. 10 (2012): 104702. http://dx.doi.org/10.1063/1.4756211.

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39

Yumiko, Vreeburg, van Vugt Laura, Simonnet Sabrina, et al. "Clinical relevance of combining Thermography with Nailfold Capillaroscopy to improve differentiation between primary and secondary Raynaud's Phenomenon." Open Journal of Radiology and Medical Imaging 4, no. 1 (2021): 39–48. https://doi.org/10.36811/ojrmi.2021.110015.

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<strong>Objectives:</strong>&nbsp;Early microvascular damage and dysfunction are clinically mirrored in Raynaud&rsquo;s phenomenon (RP). Currently, nailfold capillaroscopy (NC) is applied to differentiate between primary RP (PRP) and secondary RP (PRP), associated with connective tissue disease. However, abnormal morphology can also be caused due to age-related changes and cardiovascular disease. Thermography (TG) is a non-invasive technique which enables quantification of cutaneous vascular function. An approach using both NC and TG could improve the differentiation between PRP and SRP. <stro
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Resendiz-Ochoa, Emmanuel, Omar Trejo-Chavez, Juan J. Saucedo-Dorantes, Luis A. Morales-Hernandez, and Irving A. Cruz-Albarran. "Application of Thermography and Convolutional Neural Network to Diagnose Mechanical Faults in Induction Motors and Gearbox Wear." Applied System Innovation 7, no. 6 (2024): 123. https://doi.org/10.3390/asi7060123.

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Nowadays, induction motors and gearboxes play an important role in the industry due to the fact that they are indispensable tools that allow a large number of machines to operate. In this research, a diagnosis method is proposed for the detection of different faults in an electromechanical system through infrared thermography and a convolutional neural network (CNN). During the experiment, we tested different conditions in the motor and the gearbox. The induction motor was operated in four conditions, in a healthy state, with one broken bar, a damaged bearing, and misalignment, while the gearb
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Toasa Caiza, Paul Dario, Daiki Shiozawa, Yuya Murao, Thomas Ummenhofer, and Takahide Sakagami. "Monitoring of crack length growth on welded specimens by applying square wave inductive thermography." International Journal of Fatigue 190 (January 2025): 108642. http://dx.doi.org/10.1016/j.ijfatigue.2024.108642.

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Yang, Ruizhen, Yunze He, Bin Gao, and Gui Yun Tian. "Inductive pulsed phase thermography for reducing or enlarging the effect of surface emissivity variation." Applied Physics Letters 105, no. 18 (2014): 184103. http://dx.doi.org/10.1063/1.4901531.

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Xie, Jing, Changhang Xu, Guoming Chen, and Weiping Huang. "Improving visibility of rear surface cracks during inductive thermography of metal plates using Autoencoder." Infrared Physics & Technology 91 (June 2018): 233–42. http://dx.doi.org/10.1016/j.infrared.2018.04.016.

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44

Buchwald, Rajko, Stefan Köstner, Felix Dreckschmidt, and H. J. Möller. "Investigation of Defects in Solar Cells and Wafers by Means of Magnetic Measurements." Solid State Phenomena 178-179 (August 2011): 331–40. http://dx.doi.org/10.4028/www.scientific.net/ssp.178-179.331.

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Elaborated characterization tools play an important role for the further improvement of solar material and the development of solar cells. Besides the huge variety of highly advanced methods mainly based on optical and electrical measurements, the direct measurement of surface currents by the detection of their induced magnetic fields has gained less attention. The novel method current-analysis-by-inductive-coils (CAIC) based on an inductive coil detector and is reviewed and compared with already established methods, which are light-beam-induced-current (LBIC) and dark-lock-in-thermography (LI
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45

Chen, Yanting, Zhaoyuan Xu, Jianbo Wu, et al. "A Scanning Induction Thermography System for Thread Defects of Drill Pipes." IEEE Transactions on Instrumentation and Measurement 71 (2022): 1–9. http://dx.doi.org/10.1109/tim.2021.3136246.

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46

Kobayashi, K., and N. Banthia. "Corrosion detection in reinforced concrete using induction heating and infrared thermography." Journal of Civil Structural Health Monitoring 1, no. 1-2 (2011): 25–35. http://dx.doi.org/10.1007/s13349-010-0002-4.

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47

Azzabi Zouraq, B., H. K. Bui, A. Peterzol, et al. "A Model-Assisted Probability of Detection Study on Induction Thermography Technique." IEEE Transactions on Magnetics 55, no. 6 (2019): 1–4. http://dx.doi.org/10.1109/tmag.2019.2898733.

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48

Lee, Seungju, Yoonjae Chung, and Wontae Kim. "Comparison of Correlation Factors using Regression Analysis based on Induction Thermography." JOURNAL OF THE KOREAN SOCIETY FOR NONDESTRUCTIVE TESTING 42, no. 6 (2022): 443–50. http://dx.doi.org/10.7779/jksnt.2022.42.6.443.

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49

Zhang, Xiaoxin, Semiramis Friedrich, and Bernd Friedrich. "Characterization and Interpretation of the Aluminum Zone Refining through Infrared Thermographic Analysis." Materials 11, no. 10 (2018): 2039. http://dx.doi.org/10.3390/ma11102039.

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High purity metals are nowadays increasingly in demand to serve in electronic, photovoltaic, and target materials industries. The zone refining process is the most common way to achieve high purity in the final step of metal purification. Zone length and crystal growth rate are the main parameters that control the zone refining process. To determine these values, information about temperature profiles in the molten zone is necessary due to its direct correlation with these values. As the determination of this profile is not practically achievable in the present, the novel approach of applying
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Krunali, Rautkar Prof. Swati Soni. "COMPARATIVE STUDY OF EDGES OF THERMAL IMAGES: A CRITICAL REVIEW." International Research Journal of Modernization in Engineering Technology and Science 3, no. 6 (2021): 1–5. https://doi.org/10.5281/zenodo.4892018.

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Alteration action of induction heat into distinguishable illustrations or image for the perception of traits in the scarcity ocular light is term as thermal imagery. To gain meaningful data, the images must undergo a series of preprocessing steps that include: edge detection. Usually, kernel-based methods like Sobel, Canny, Roberts etc. are used. The per phase of the current trends for edge detection has been presented in this work. The Canny methodology has indications like tremendous competence, commotion subduing, and extensive details of extremities or boundaries or edge. The incentives be
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