Research of Structure Tuning Resonance Method of Spur Gear Micro Crack Defect Detection System by Li Rui Qu Chongxia Shi Zhaoyao

“…An experimental testing system based on structure tuning resonance is constructed by combining finite element modal analysis technique with experimental modal analysis technique, the micro cracks defect of spur gear is detected by using this test system. …”
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DIAGNOSIS OF GROUPS OF ELECTRO-RADIO COMPONENTS ACCORDING TO THE TRANSIENT RESPONSES FOR THE DETECTION OF DEFECTS ON THE FUNCTIONAL CELLS by T. A. Ismailov, I. G. Mironenko, Kh. M. Gajiyev, T. A. Chelushkina

“…Diagnosing groups of electric components on transient characteristics for the detection of defects in the functional cell matrices enables efficiency control operations improvement and troubleshooting in the search for modern electronic equipment reliability.…”
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Severity Estimation of Defects on Interpretation of Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks in defectograms. …”
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A Defect Detection Method for Flexible Thermal Control Film Manufacturing Process Driven by Digital Twin by LI Rongyi, TIAN Shuaiqi, DAI Mingqiu, XU Youqiang, LI Xianbin, HOU Kailin

“…In view of the rigid constraints of traditional monolithic architecture in the defect detection of flexible films, this paper proposes a digital twin system based on microservice architecture. …”
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Performance of Fitness Functions Based on Natural Frequencies in Defect Detection Using the Standard PSO-FEM Approach by Xiao-Lin Li, Roger Serra, Julien Olivier

“…Structural defect detection based on finite element model (FEM) updating is an optimization problem by minimizing the discrepancy of responses between model and measurement. …”
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Evaluation of the Magnet Breakaway Force Measurement Accuracy of the NT-800 Sensors for Early Detection of Defects of Their Manufacturing by A. Yu. Kutsepau, A. P. Kren, Y. V. Hnutsenka

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Detection of Internal Defects in Concrete Using Delay Multiply and Sum-Enhanced Synthetic Aperture Focusing Technique by Feng Li, Sheng-Kui Di, Jing Zhang, Dong Yang, Yao Pei, Xiao-Ying Wang

“…Traditional techniques for detecting internal defects in concrete are limited by the weak directivity of ultrasonic waves, significant signal attenuation, and low imaging contrast. …”
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Ultrasonic phased array flexible coupling detection of defects in high-voltage cable terminal lead seals by Peng Ziping, Zheng Jishi, Zhen Zhiming, Huang Yaosheng, Li Xiaobin, Cai Qiushen

“…This method employs an ultrasonic phased array probe and a flexible water bag coupling device to form a lead seal defect detection system. Firstly, a simulation model for lead seal defects is established using COMSOL finite element simulation software to design and optimize the detection parameters of the ultrasonic phased array probe. …”
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Wavelet-based stochastic finite element analysis of steel girders by Marcin Kamiński, Michał Jan Guminiak, Anna Knitter-Piątkowska, Olga Kawa

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Few-Shot Evaluation of Vision Language Models for Detecting Visual Defects in Autonomous Vehicle Software Requirement Specifications by Nabil Bukhary, Maaz Ahmad, Karim Rashad, Samarth Rai, Salsabeel Shapsough, Yara Kaddoura, Dana Dghaym, Imran Zualkernan

“…CoT prompting notably enhanced defect detection performance for both GEMINI and ClaudeAI across all defect types. …”
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Detection and Strong Classification of Natural Weld Defects by Magneto-Optical Imaging Under Rotating Magnetic Field Excitation by Yanfeng Li, Xiangdong Gao, Yanxi Zhang

“…The accurate detection and classification of invisible weld defects is very important to ensure the quality of welding products. …”
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Surface defect detection on bolt surface using a real-time fine-tuned YOLOv6 model by Chhaya Gupta, Nasib Singh Gill, Preeti Gulia, Faeiz M. Alserhani, Piyush Kumar Shukla, J. Shreyas

“…Additionally, YOLOBolt employs the Convolutional Block-Attention Mechanism (CBAM) to enhance the model's precision in detecting small-sized flaws. Soft Intersection over Union (SIoU) is utilized to augment target detection. …”
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Multi-Modal Dynamic Fusion for Defect Detection in Electronic Products: A Novel Approach Based on Energy and Deep Learning by Yulin Liu, Yang Gao

“…These findings underscore the model’s potential in advancing practical defect detection and quality assurance in manufacturing environments.…”
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Research on magnetic flux leakage characteristics and identification methods under typical transformer winding defects by LU Yingqiang, HU Zhongzhong, SHANG Hujun, ZHOU Quan

“…Current research lacks a comprehensive analysis of magnetic flux leakage patterns caused by transformer winding defects， which complicates defect detection. To address this， A 3D finite element simulation model of a 110 kV transformer was developed to simulate the winding defects. …”
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Application of Neural Networks for Recognizing Rail Structural Elements in Magnetic and Eddy Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks on defectograms. …”
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Application of Convolutional Neural Networks for Recognizing Long Structural Elements of Rails in Eddy-Current Defectograms by Egor V. Kuzmin, Oleg E. Gorbunov, Petr O. Plotnikov, Vadim A. Tyukin, Vladimir A. Bashkin

“…The analysis means a process of determining the presence of defective sections along with identifying structural elements of railway tracks in defectograms. …”
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Detection of hidden defects of thermal protection of buildings and determination of some thermal properties of structural building materials by Non-destructive Thermal Imaging meth... by D. F. Karpov, M. V. Pavlov, A. G. Gudkov

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DAMAGE DETECTION IN COMPOSITE CYLINDRICAL PANEL BASED ON FORCED VIBRATION ANALYSIS by Piotr PAJĄK, Marek BARSKI

“…The analysis is performed with use of finite element method. The internal defect is modeled by the reduction of the composite material stiffness and density in arbitrary chosen elements. …”
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IR thermography & NN models for damaged component thickness detection by Chunming Ai, Haichuan Lin, Pingping Sun

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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

“…This paper analyses existing research about machine learning approaches in software defect prediction as a key element for improving software reliability and quality. …”
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