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Journal articles on the topic 'Thermographie inductive'

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Author: Grafiati

Published: 8 June 2024

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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 (May 21, 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 principle of the eddy current pulsed thermography (ECPT) system for an IGBT module with a heat sink is introduced. A 3D simulation module is built with physical parameters in ANSYS simulations, and then thermal propagation behavior considering the degradation impact is investigated. An experimental ECPT system is set up to verify the effectiveness of the proposed method. The experimental results show that the delay time to peak temperature can be extracted and treated as an effective indicative feature of joint degradation.

2

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 (August 6, 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 surface. We show that the sensitivity of the data to the geometrical parameters of the heat source decreases as the angle it makes with the surface increases. The study also shows that the optimum duration of the excitation corresponds to a thermal diffusion length covering the distance from the surface to the deepest end of the heat source. The accuracy and precision of the results for different noise levels and inclinations have been tested by fitting the model to synthetic data with added noise. Fittings of experimental induction thermography data on 3D printed photo-polymeric resin samples containing calibrated Cu slabs confirm that it is possible to characterize tilted rectangular heat sources from surface temperature data.

3

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 (November 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 called Extremely Randomized Tree (ERT). The proposed method effectiveness is evaluated based on the experimental IRT images, and the diagnosis results show its capacity and that it can be considered as a powerful diagnostic tool with a high classification accuracy and stability compared to other previously used methods.

4

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 (April 30, 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 instruments. A harmonic analyzer measures THD using data from the full testing period. Modern energy audits save 10–15% on energy. Suggestions include modest restructuring of electrical network load distribution, little investment in capacitor banks in each section of induction motors, and thorough analysis and corrective measures based on customer needs.

5

Kosec, Borut, Blaž Karpe, Mirko Gojić, Zorana Tanasić, Gorazd Kosec, Aco Antić, and Aleš Nagode. "Inductive Heating and Quenching of Planetary Shafts for Diesel Engine Starters." Advanced Technologies & Materials 48, no. 2 (December 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 quenching heat treatment and quality of the planetary shafts were analyzed, with the use of thermographic analysis, hardness measurements, and metallographic examination. Combination of inductive heating and water quenching is the most effective heat treatment process of carbon steel planetary shafts for the diesel engine starters. Long life span of carbon steel planetary shafts it’s essential for their economical production. The replacement of starter is expensive from both: money and working time point of view. Surface temperature measurements during the inductive heating process were performed in the industrial environment. The intensity and homogeneity of the planetary shaft surface temperature field was measured by thermographic camera. On the base of theoretical knowledge and measurements, a mathematical model for temperature conditions determination in the shaft during the entire process of heating and quenching was carried out, and used for analyses and optimization of planetary shafts induction hardening process.

6

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 (June 8, 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 method, separate stationary inductive pulsed measurements are carried out for the segments of a long sample and the results are stitched together to one panoramic image of the whole specimen (“stop-and-go”). Since the surface of the rail piece is curved, rectification of the surface with a flexible grid is necessary to generate seamless panoramic images. In the case of the second method, a specimen is moved with constant speed underneath the induction coil. For the detection of shallow surface cracks, the infrared camera has to have a view of the surface during the heating; therefore, the camera is placed behind the coil but tilted towards a position below the induction coil. In order to be able to evaluate phase images from the temporal temperature change, a checkerboard grid as a rectification target is used. It is also analyzed how the chosen IR camera frame rate and the motion speed affect the scanning result.

7

Tuschl, Christoph, Beate Oswald-Tranta, and Sven Eck. "Inductive Thermography as Non-Destructive Testing for Railway Rails." Applied Sciences 11, no. 3 (January 22, 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 excellently used to detect head checks and squats on rails, and the method is also applicable for characterizing individual cracks as well as crack networks. Several rail pieces with head checks, with artificial electrical discharge-machining (EDM)-cuts and with a squat defect were inspected using inductive thermography. Aiming towards rail inspection of the track, 1 m long rail pieces were inspected in two different ways: first via a ‘stop-and-go’ technique, through which their subsequent images are merged together into a panorama image, and secondly via scanning during a continuous movement of the rail. The advantages and disadvantages of both methods are compared and analyzed. Special image processing tools were developed to automatically fully characterize the rail defects (average crack angle, distance between cracks and average crack length) in the recorded IR images. Additionally, finite element simulations were used to investigate the effect of the measurement setup and of the crack parameters, in order to optimize the experiments.

8

Xia, Hui, Erlong Li, Jianbo Wu, Qiao Qiu, Jie Wang, Jiqing Luo, and Sha He. "Scanning induction thermography for subsurface defect orientation detection and depth quantification." International Journal of Applied Electromagnetics and Mechanics 64, no. 1-4 (December 10, 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 main challenges of SIT are how to detect the subsurface defect orientation and quantify the depth. So that, the quantitative analysis in SIT with the new feature extraction methods was investigated and improved to detect the subsurface defect orientation and quantify the defect depth within 5 mm by using experimental studies.

9

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 (October 2016): 1–4. http://dx.doi.org/10.1109/tasc.2016.2582662.

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10

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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11

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 (August 2010): 3585–91. http://dx.doi.org/10.1016/j.ijheatmasstransfer.2010.04.030.

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12

Verspeek, Simon, Bart Ribbens, Xavier Maldague, and Gunther Steenackers. "Spot Weld Inspections Using Active Thermography." Applied Sciences 12, no. 11 (June 2, 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 of the vehicle is minor. Therefore, inspections using front heating are more suitable. In this manuscript, multiple excitation methods are compared as well as different post-processing techniques. The used excitation techniques can be divided into light heating and inductive heating. Light heating is further divided in lock-in thermography and pulse thermography. The used post-processing techniques are principle component analysis and fast Fourier transform. Inductive heating turns out to be the most suitable measurement technique since it is fast and can be performed as front and back heating. Both investigated post-processing techniques deliver suitable information, such as relief images and information of the internal structure of the spot weld.

13

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 (June 13, 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. Threshold-value-based binarization processing using the Otsu algorithm was performed for clear defect object recognition. After performing the 2nd de-noising, automatic defect recognition was performed using a boundary tracking algorithm. As a result, the conditions due to the parameters of the scanning line for the thermal image were determined.

14

Kim, Wontae. "Principle and Applications of Induction Infrared Thermography." Journal of the Korean Society for Nondestructive Testing 37, no. 1 (February 28, 2017): 44–49. http://dx.doi.org/10.7779/jksnt.2017.37.1.44.

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15

Genest, Marc, and Gang Li. "Induction thermography of steel coupons with cracks." Applied Optics 57, no. 18 (March 16, 2018): D40. http://dx.doi.org/10.1364/ao.57.000d40.

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16

Noethen, Matthias, Yi Jia, and Norbert Meyendorf. "Simulation of the surface crack detection using inductive heated thermography." Nondestructive Testing and Evaluation 27, no. 2 (January 3, 2012): 139–49. http://dx.doi.org/10.1080/10589759.2011.633605.

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17

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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18

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

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19

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 (July 3, 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 impressed current formulation. The thermal diffusion in the workpiece is solved by using surface electromagnetic power density as thermal source. Findings The accuracy and the usefulness of the method for the design of the induction thermography NDT technique have been shown with acceptable deviation compared with a full FEM model. It is also observed that at high frequency, when the ratio between the local radius of the conductor and the skin depth is high, a very good accuracy can be obtained with the SIBC methods. At lower frequency, the effect of the curvature of the surface becomes significant. In this case, the use of the Mitzner’s impedance can help to correct the error. Originality/value The SIBC can be used for both massive coil and workpieces with open cracks to alleviate 3D FEMs of the coupled electrothermal model. The implementation in matrix form of the coupled electrothermal formulation is given in details. The comparisons with reference analytical solution and full 3D FEM show the accuracy and performance of the method. In the test case presented, the computation time is 6.6 times lower than the classical model.

20

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 (February 2016): 371–83. http://dx.doi.org/10.1109/tii.2015.2492925.

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21

Oswald-Tranta, B. "Lock-in inductive thermography for surface crack detection in different metals." Quantitative InfraRed Thermography Journal 16, no. 3-4 (March 28, 2019): 276–300. http://dx.doi.org/10.1080/17686733.2019.1592391.

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22

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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23

Li, Zhen, and Zhaozong Meng. "A Review of the Radio Frequency Non-destructive Testing for Carbon-fibre Composites." Measurement Science Review 16, no. 2 (April 1, 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 well categorised into four types (i.e. electromagnetic induction, resonance, RF-based thermography and RF wave propagation) and demonstrated in detail. The example of impact damage detection using the induction and resonance methods is given. Some discussions on the development (like industrial-scale automated scanning, three-dimensional imaging, short-range ultra-wideband (UWB) imaging and the radio frequency identification technology (RFID)-based NDT) are presented.

24

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 (May 1, 2021): 10437–44. http://dx.doi.org/10.1109/jsen.2021.3060916.

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25

Oswald-Tranta, Beate. "Induction Thermography for Surface Crack Detection and Depth Determination." Applied Sciences 8, no. 2 (February 9, 2018): 257. http://dx.doi.org/10.3390/app8020257.

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26

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 (March 16, 2016): 170–81. http://dx.doi.org/10.1080/17686733.2016.1145842.

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27

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 (September 1, 2017): 5637–45. http://dx.doi.org/10.1109/jsen.2017.2723432.

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28

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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29

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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30

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 (February 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 for the determination of the absolute and normalized thermal contrasts. Another important consideration concerns the possibility of obtaining a qualitative indication on the defect depth. Although the thermal contrast depends on the choice of the intact and defective area, the maximum value of the absolute contrast was higher for the more superficial defects than for the deeper ones. Furthermore, the absolute contrast was correlated with the size of the defects. In the study of CFRP panel, the defects characterization was conducted in a comparable way to evaluate the contrasts with a suitable choice of undamaged reference area. The comparison of the proposed technique with the traditional pulsed technique has demonstrated the real potential of application on SMArt GFRP and aeronautical CFRP elements with the same level of reliability as traditional thermographic techniques. However, the induction technique has shown better ability to detect small real defects more accurately in CFRP panels. However, the limitation of the power generator and the size of the inductor could limit the detectability of defects.

31

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 produce ROI (region of interest) images. The ROI image is extracted based on HSV color and shape feature. Feature extraction is intended to determine value of mean, standard deviation, kurtosis, skewness and entropy HSV and shape features (area, perimeter, metric, and eccentricity). The highest RMS (root mean square) vibration data is used as reference to classify data into normal and abnormal. Parameters that can be used to classify normal and abnormal conditions based on data analysis are standard deviation Hue, kurtosis HS, skewness HSV, entropy HSV and metric.

32

He, Yunze, Mengchun Pan, and Feilu Luo. "Defect characterisation based on heat diffusion using induction thermography testing." Review of Scientific Instruments 83, no. 10 (October 2012): 104702. http://dx.doi.org/10.1063/1.4756211.

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33

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 (November 3, 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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Chen, Yanting, Zhaoyuan Xu, Jianbo Wu, Sha He, Maciej Roskosz, Hui Xia, and Yihua Kang. "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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36

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 (January 14, 2011): 25–35. http://dx.doi.org/10.1007/s13349-010-0002-4.

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37

Azzabi Zouraq, B., H. K. Bui, A. Peterzol, G. Wasselynck, G. Berthiau, D. Trichet, and M. Taglione. "A Model-Assisted Probability of Detection Study on Induction Thermography Technique." IEEE Transactions on Magnetics 55, no. 6 (June 2019): 1–4. http://dx.doi.org/10.1109/tmag.2019.2898733.

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38

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 (December 31, 2022): 443–50. http://dx.doi.org/10.7779/jksnt.2022.42.6.443.

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39

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 (LIT). The detector reveals complementary information at high resolution. The LIT measurements depicted shunting defects in forward and reverse current. Because of the high spatial resolution of the CAIC measurement technique it was determinable that in some cases the positions of current sinks in the CAIC maps are not corresponding with the microstructure. The analyses of the superpositions reveals macroscopic precipitates like SiC and Si3N4 filaments and clusters as an origin of some of the shunts.

40

Zhang, Xiaoxin, Semiramis Friedrich, and Bernd Friedrich. "Characterization and Interpretation of the Aluminum Zone Refining through Infrared Thermographic Analysis." Materials 11, no. 10 (October 19, 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 an infrared (IR) camera during the zone refining of 2N8 aluminum is the focus of the investigation in this work. The whole temperature profile of the region near the molten zone was recorded by IR camera during the entire running process. The zone length and the crystal growth rate at each thermographic image shooting moment were successfully extracted by thermographic analysis. Results showed that both factors varied significantly, which is in contrast to the assumption in literature about their stability while running under constant input power and heater movement velocity, though noticeable purification took place in all of these experiments. However, the impurity concentration during refinement fluctuated remarkably. This was well-demonstrated by the tendency of variation in crystal growth rate attained in this work. These results provide a better understanding of the mechanisms of zone refining with an inductive heater and contributes to the optimization of the process.

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Gao, Bin, Yunze He, Wai Lok Woo, Gui Yun Tian, Jia Liu, and Yihua Hu. "Multidimensional Tensor-Based Inductive Thermography With Multiple Physical Fields for Offshore Wind Turbine Gear Inspection." IEEE Transactions on Industrial Electronics 63, no. 10 (October 2016): 6305–15. http://dx.doi.org/10.1109/tie.2016.2574987.

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Navarrete-García, Ítalo Humberto, Leonardo Peña Pupo, María Rodríguez-Gámez, Lucio Alfredo Valarezo-Molina, Julio Cesar Mera-Macias, Lenin Agustín Cuenca-Álava, and María Shirlendy Guerrero-Alcívar. "THERMOGRAPHIC STUDY IN THE LODANA-UTM EXTENSION PHOTOVOLTAIC POWER PLANT FOR THE PREVENTION OF BREAKDOWNS." Journal of Law and Sustainable Development 12, no. 2 (February 27, 2024): e3403. http://dx.doi.org/10.55908/sdgs.v12i2.3403.

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Objective: Detect the hot spots present in the photovoltaic modules, to know what type of maintenance they need to achieve good energy performance. Methods: The bibliographic review method, the inductive-deductive and the experimental method were applied, through visual inspection and infrared thermography to determine the number of panels that are affected, using the temperature variation technique. Results: It was obtained that 7.41% need corrective maintenance, 11.11% preventive maintenance and 81.48% predictive maintenance, this maintenance must be carried out with the objective that the photovoltaic generator does not lose its optimal operability during its work process and decrease its performance, this prediction method is done automatically, the procedure allows you to organize the detection and classification process more effectively. Conclusions: Thermography is a passive, non-contact measurement method. Thermal images show the temperature distribution on the surface of the object. Thermal imaging technology has become one of the most valuable diagnostic tools for predictive maintenance by detecting anomalies that are not normally visible to the naked eye. These can prevent costly system failures before they occur, thereby achieving that reduces the occurrence of breakdowns, increases the overall performance factor, improves the profitability conditions of the project, reduces costs associated with its operation.

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Netzelmann, Udo. "Theoretical and Experimental Analysis of the Thermal Response in Induction Thermography in the Frequency Range of 2.5 Hz to 20 kHz." Applied Sciences 13, no. 6 (March 10, 2023): 3565. http://dx.doi.org/10.3390/app13063565.

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The one-dimensional propagation of electromagnetic waves and the propagation of the resulting thermal waves in conducting material are analysed in a coherent way. The heat release due to resistive losses has a static and an oscillating part. Both are considered as heat source terms for the thermal diffusion equation. The time dependence of the temperature is described by analytical solutions. Electrically and thermally conducting materials are classified by the ratio of thermal penetration depth to the skin depth. Experiments performed on ferritic steel, stainless steel and carbon-fibre-reinforced polymer show the time dependence of the thermal signal after heating begins, as described by the theory. At low induction frequencies, an oscillating part of the surface temperature at the double of the induction frequency is detected in accordance with the theory. The results point out new opportunities for induction thermography.

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Choudhary, Anurag, Deepam Goyal, and Shimi Sudha Letha. "Infrared Thermography-Based Fault Diagnosis of Induction Motor Bearings Using Machine Learning." IEEE Sensors Journal 21, no. 2 (January 15, 2021): 1727–34. http://dx.doi.org/10.1109/jsen.2020.3015868.

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He, Yunze, Bolun Du, and Shoudao Huang. "Noncontact Electromagnetic Induction Excited Infrared Thermography for Photovoltaic Cells and Modules Inspection." IEEE Transactions on Industrial Informatics 14, no. 12 (December 2018): 5585–93. http://dx.doi.org/10.1109/tii.2018.2822272.

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ISHIKAWA, Masashi, Yuuki SHIIYA, Yasuo KOGO, Hiroshi HATTA, Yoshio HABUKA, Ryo FUKUI, and Shin UTSUNOMIYA. "Non-destructive inspection of CFRP laminates using phase-transformed induction heating thermography." Transactions of the JSME (in Japanese) 81, no. 829 (2015): 15–00170. http://dx.doi.org/10.1299/transjsme.15-00170.

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Baek, Seunghoon, William Xue, Maria Q. Feng, and Seungjun Kwon. "Nondestructive Corrosion Detection in RC Through Integrated Heat Induction and IR Thermography." Journal of Nondestructive Evaluation 31, no. 2 (February 9, 2012): 181–90. http://dx.doi.org/10.1007/s10921-012-0133-0.

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Wu, Tongle, Bin Gao, and Wai Lok Woo. "Hierarchical low-rank and sparse tensor micro defects decomposition by electromagnetic thermography imaging system." Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 378, no. 2182 (September 14, 2020): 20190584. http://dx.doi.org/10.1098/rsta.2019.0584.

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With the advancement of electromagnetic induction thermography and imaging technology in non-destructive testing field, this system has significantly benefitted modern industries in fast and contactless defects detection. However, due to the limitations of front-end hardware experimental equipment and the complicated test pieces, these have brought forth new challenges to the detection process. Making use of the spatio-temporal video data captured by the thermal imaging device and linking it with advanced video processing algorithm to defects detection has become a necessary alternative way to solve these detection challenges. The extremely weak and sparse defect signal is buried in complex background with the presence of strong noise in the real experimental scene has prevented progress to be made in defects detection. In this paper, we propose a novel hierarchical low-rank and sparse tensor decomposition method to mine anomalous patterns in the induction thermography stream for defects detection. The proposed algorithm offers advantages not only in suppressing the interference of strong background and sharpens the visual features of defects, but also overcoming the problems of over- and under-sparseness suffered by similar state-of-the-art algorithms. Real-time natural defect detection experiments have been conducted to verify that the proposed algorithm is more efficient and accurate than existing algorithms in terms of visual presentations and evaluation criteria. This article is part of the theme issue ‘Advanced electromagnetic non-destructive evaluation and smart monitoring’.

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Yilmaz, Bengisu, Abdoulaye Ba, Elena Jasiuniene, Huu-Kien Bui, and Gérard Berthiau. "Evaluation of Bonding Quality with Advanced Nondestructive Testing (NDT) and Data Fusion." Sensors 20, no. 18 (September 8, 2020): 5127. http://dx.doi.org/10.3390/s20185127.

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This work aims to compare quantitatively different nondestructive testing (NDT) techniques and data fusion features for the evaluation of adhesive bonding quality. Adhesively bonded composite-epoxy single-lap joints have been investigated with advanced ultrasonic nondestructive testing and induction thermography. Bonded structures with artificial debonding defects in three different case studies have been investigated: debonding with release film inclusion, debonding with brass film-large, debonding with brass film-small. After completing preprocessing of the data for data fusion, the feature matrices, depending on the interface reflection peak-to-peak amplitude and the principal component analysis, have been extracted from ultrasonic and thermography inspection results, respectively. The obtained feature matrices have been used as the source in basic (average, difference, weighted average, Hadamard product) and statistical (Dempster–Shafer rule of combination) data fusion algorithms. The defect detection performances of advanced nondestructive testing techniques, in addition to data fusion algorithms have been evaluated quantitatively by receiver operating characteristics. In conclusion, it is shown that data fusion can increase the detectability of artificial debonding in single-lap joints.

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Aguayo-Tapia, Sarahi, Gerardo Avalos-Almazan, Jose de Jesus Rangel-Magdaleno, and Juan Manuel Ramirez-Cortes. "Physical Variable Measurement Techniques for Fault Detection in Electric Motors." Energies 16, no. 12 (June 18, 2023): 4780. http://dx.doi.org/10.3390/en16124780.

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Induction motors are widely used worldwide for domestic and industrial applications. Fault detection and classification techniques based on signal analysis have increased in popularity due to the growing use of induction motors in new technologies such as electric vehicles, automatic control, maintenance systems, and the inclusion of renewable energy sources in electrical systems, among others. Hence, monitoring, fault detection, and classification are topics of interest for researchers, given that the presence of a fault can lead to catastrophic consequences concerning technical and financial aspects. To detect a fault in an induction motor, several techniques based on different physical variables, such as vibrations, current signals, stray flux, and thermographic images, have been studied. This paper reviews recent investigations into physical variables, instruments, and techniques used in the analysis of faults in induction motors, aiming to provide an overview on the pros and cons of using a certain type of physical variable for fault detection. A discussion about the detection accuracy and complexity of the signals analysis is presented, comparing the results reported in recent years. This work finds that current and vibration are the most popular signals employed to detect faults in induction motors. However, stray flux signal analysis is presented as a promising alternative to detect faults under certain operating conditions where other methods, such as current analysis, may fail.