Research on Total Internal Reflection Detection Technology for Subsurface Defects of Optical Elements Based on Spectral Confocal Principles by Rongcai Bao, Kaige Qu, Lu Wu, Shijian Zhang, Anyu Sun

“…It has become a key technology to realize the high-precision quantitative automatic detection of subsurface defects of optical elements. …”
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Deep Learning-Enhanced Electronic Packaging Defect Detection via Fused Thermal Simulation and Infrared Thermography by Zijian Peng, Hu He

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Reconstruction of defects in elastic bodies by combination of genetic algorithm and finite element method by Arkady N Solovyev, Mikhail Y. Shevtsov

“…The results demonstrate adequacy of the additional information to overcome the problem ill-posedness, as well as high efficiency of the proposed algorithm both in accuracy of detecting defects parameters, and in their search speed.…”
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Research on Nondestructive Testing Method Based on Magnetic Characteristics of Electron Beam Weld Defects by Qiangqiang Cheng, Jijun Liu, Yisong Wang, Guisuo Xia, Chunquan Li

“…In view of the problems of poor safety, slow detection speed, and low accuracy of existing nondestructive testing (NDT) technologies, such as X-ray methods and ultrasonic detection in detecting electron beam weld defects in aluminum alloys, this study proposes a weak magnetic NDT method based on the geomagnetic field. …”
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Defect Location Analysis of CFRP Plates Based on Morphological Filtering Technique by Yanlai Peng, Zhenyu Wu, Xiaoying Cheng, Lin Shi

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Dynamic Multibody Modeling of Spherical Roller Bearings with Localized Defects for Large-Scale Rotating Machinery by Luca Giraudo, Luigi Gianpio Di Maggio, Lorenzo Giorio, Cristiana Delprete

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Mathematical model of the process for diagnosing defects in aircraft structure elements made of composite materials by I. A. Davydov

“…The scientific article is the result of a study aimed at creating a mathematical model for diagnosing defects in aircraft structural elements made of composite materials. …”
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Detection of Rail Defects Using Phased Array Ultrasonic Technique by Phrommahakul Nichapa, Kongpuang Manwika, Sani Suhaidee, Katib Anas, Sulong Fittriya

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Detection of conveyor belt defects using unified diagnostic criteria. by Gerike P.B., Gericke B.L.

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Techniques in detect selective leaching in metal components by Maritza Rodríguez Gual, Bruno Lopes Vieira, Rennan Souza da Silva

“…Due to the fact, Selective Leaching Detection Program is a requirement of the current national regulatory authority, there is a need to know the techniques for early detection of defects and failures in Structures, Systems and Components (SSCs) due to selective leaching, enabling immediate corrections and minimizing resources and replacements.  …”
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Self-reference Lock-in Thermography for Detecting Defects in Metal Bridge Spans by A. L. Solovyev, M. E. Royak

“…If the presence of this defect is confirmed during repeated examinations, it will be possible to diagnose hidden defects that have not yet come to the surface, and/or detect potentially collapsing places.Discussion and Conclusions. …”
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On detection of crack-like welding defects by existing quality control methods by V. A. Peredelsky, V. Y. Harchenko, A. I. Chernogorov, S. V. Tihinov

“…Welding defects were detected by standard quality control methods prescribed by the SPD and GOST standards.Results. …”
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Spatial information analysis of characteristics of soil trace element contents in high incidence areas of birth defects by ZHANG Zhuo-dong, ZHANG Ke-li, WU Ji-lei, ZHANG Ting, ZHENG Xiao-ying

“…Based on the correlation analysis between the distribution of soil element contents and birth defects, to study the anomaly characteristics of soil elements in high incidence areas of birth defects, and provide scientific basis and new approach for the screening of sensitive factors that induce birth defects, two counties Zhongyang and Jiaokou of Shanxi Province were selected as research area, according to the investigation route and villages of epidemic, soil samples were collected in every village, the contents of 16 kinds of elements in the soil, Al, As, Ca, Cu, Fe, K, Mg, Mo, Na, Ni, Pb, Se, Sn, Sr, V, Zn were measured. …”
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Sparse Adaptive Optimization Based on Low Rank Decomposition for Image Defect Detection by Daihong Jiang, Zhixiang Chen, Sanyou Zhang, Yunfei Li, Lu Zhao

“…Extensive experiments on tasks such as defect detection and background reconstruction demonstrate that the proposed method outperforms existing approaches, achieving superior accuracy and robustness across various real-world scenarios.…”
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Cross-Scale Feature Blending Model for Surface Defect Identification in Machine Tool Elements Resilient to Contaminant Interference by Dong Wu, Chunhua Guo, Renpu Li, Zhigang Ma

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WELD DEFECT ANALYSIS IN A PRESSURE PIPELINES USING 2D AXISYMMETRIC FINITE ELEMENT ANALYSIS IN ABAQUS by Muhammad Sohail Ashraf

“…This study concludes the significance of carefully selecting mesh element types and sizes. Quadrilateral quadratic elements capture detailed stress distribution in the curved geometries. …”
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Applying Finite-Element and Boundary-Element Methods to Select Rational Design Version of Weld-Fabricated Bogie Frame Brackets of Locomotives and Railway Cars by O. A. Rusanov, V. V. Kochergin, A. A. Bukhantsev, V. V. Brekson

“…At the first stage general stressed state of a bogie frame as a whole is examined by applying finite-element method. At the second stage special features of 3D stress distribution within the individual bracket are studied in detail using boundary-element method with due regard for factors of geometric concentration of stresses within the potential welding defects zones. …”
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A Novel YOLOv10-Based Algorithm for Accurate Steel Surface Defect Detection by Liefa Liao, Chao Song, Shouluan Wu, Jianglong Fu

“…To address challenges like manual processes, complicated detection methods, high false alarm rates, and frequent errors in identifying defects on steel surfaces, this research presents an innovative detection system, YOLOv10n-SFDC. …”
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Transfer Learning-Based Detection of Pile Defects in Low-Strain Pile Integrity Testing by Övünç Öztürk, Tuğba Özacar, Bora Canbula

“…Low-strain pile integrity testing (LSPIT) is widely used for defect detection; however, conventional manual interpretation of reflectograms is both time-consuming and susceptible to human error. …”
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Fault Detection Enhancement in Rolling Element Bearings Using the Minimum Entropy Deconvolution by Tomasz BARSZCZ, Nader SAWALHI

“…Minimum Entropy Deconvolution (MED) has been recently introduced to the machine condition mon- itoring field to enhance fault detection in rolling element bearings and gears. MED proved to be an excellent aid to the extraction of these impulses and diagnosing their origin, i.e. the defective component of the bearing. …”
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