Search Results - data processing for defect detection

Digital Twins for Defect Detection in FDM 3D Printing Process by Chao Xu, Shengbin Lu, Yulin Zhang, Lu Zhang, Zhengyi Song, Huili Liu, Qingping Liu, Luquan Ren

“…Existing DT research on AM focuses on simulating the printing process and lacks real-time defect detection and twinning of actual printed objects, which hinders the timely detection and correction of defects. …”
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Automatic detection and classification process for concrete defects in deteriorating buildings based on image data by Suhyun Kang, Seungho Kim, Sangyong Kim

“…Therefore, this study presented a safety inspection process that automatically detects and classifies defects using image data that can be easily acquired at a low cost and confirms the location of defects through 3D modeling. …”
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Detection of external defects on potatoes by hyperspectral imaging technology and image processing method by Su Wenhao, Liu Guishan, He Jianguo, Wang Songlei, He Xiaoguang, Wang Wei, Wu Longguo

“…The traditional classification method has low efficiency and poor objectivity, costs big labor intensity, and is difficult to identify shortcomings through it.In order to realize the accurate and fast classification of potatoes in the process of actual processing, various potatoes with external defects were detected in spectral region of 400 - 1 000 nm using hyperspectral image technology, and an online nondestructive testing method was established by principal component analysis of characteristic wavelengths and image subtraction algorithm.Six defective potato types (mechanical damage, hole, scab, surface bruise, sprout, green skin, normal) and one qualified potato type were used as the research objects in this study, and their hyperspectral images were obtained, respectively. …”
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An improved air conditioner label defect detection algorithm based on SURF features by Huizi ZHOU, Yuelin LIU, Qing LIU, Jianwu LI

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Modeling of Ultrasonic Flaw Detection Processes in the Task of Searching and Visualizing Internal Defects in Assemblies and Structures by B. V. Sobol, A. N. Soloviev, P. V. Vasiliev, A. A. Lyapin

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Comparison of Directional and Diffused Lighting for Pixel-Level Segmentation of Concrete Cracks by Hamish Dow, Marcus Perry, Jack McAlorum, Sanjeetha Pennada

“…A novel directional lighting image segmentation algorithm is proposed, which applies crack segmentation image processing techniques to each directionally lit image before combining all images into a single output, highlighting the extremities of the defect. …”
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Research on the Defect Detection Method of Steel-Reinforced Concrete Based on Piezoelectric Technology and Weight Analysis by Yilong Yu, Yulin Dong, Yulong Jiang, Fan Wang, Qianfan Zhou, Panfeng Ba

“…Combined with the wavelet packet energy theory, the data processing of the original detection signal is carried out based on composite weighting by energy distribution entropy. …”
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Detecting Important Features and Predicting Yield from Defects Detected by SEM in Semiconductor Production by Umberto Amato, Anestis Antoniadis, Italia De Feis, Anastasiia Doinychko, Irène Gijbels, Antonino La Magna, Daniele Pagano, Francesco Piccinini, Easter Selvan Suviseshamuthu, Carlo Severgnini, Andres Torres, Patrizia Vasquez

“…A key step to optimize the tests of semiconductors during the production process is to improve the prediction of the final yield from the defects detected on the wafers during the production process. …”
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An Image Entropy Recurrence Map-Based Screening Method for Ultrasound B-Scan Image Segments Containing Defects by Peiqiang Chen, Qunli Lishen, Bin Tang, Chenlong Yang

“…In recent years, defect detection based on ultrasound B-scan images has been widely utilized in industry to detect the quality and presence of defects in products. …”
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Attain: Inclusive annotated pavement distress types and severity datasetMendeley Data by Mohammad Rezaeimanesh, Amir Golroo, Mohammad Sadegh Fahmani, Mohammad Javad Amani, Farid Hasanitabaar, Mohammad Saleh Entezari, Sane Karimi

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Detection of defects in printed circuit boards by the acoustic emission method by S. U. Uvaysov, N. T. Luu, C. D. Nguyen, Th. H. Vo, A. V. Dolmatov

“…The studies demonstrated that the AE method allows the presence of defects in MPCB occurring during the lamination process to be detected effectively and reliably. …”
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Radiographic detection of welding defects based on neural ordinary differential equations by Wenyong WU, Hongyu CHENG, Qican ZHANG

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INVESTIGATION OF THE OPTICAL BONE DENSITY OF THE ALVEOLAR PROCESSES IN THE AREA OF DEFECTS OF DENTITION by S.A. German

“… Special non-invasive methods of investigating the condition of bone tissue have been developed and introduced into clinical practice in recent decades, allowing with high accuracy to detect changes of optical density of bone tissue of the alveolar process of the jaws. …”
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Intelligent Classification Method for Rail Defects in Magnetic Flux Leakage Testing Based on Feature Selection and Parameter Optimization by Kailun Ji, Ping Wang, Yinliang Jia

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MSAN-Net: An End-to-End Multi-Scale Attention Network for Universal Industrial Defect Detection by Zelu Wang, Ming Luo, Xinghe Xie, Yue Sun, Xinyu Tian, Zhengxuan Chen, Junwei Xie, Qinquan Gao, Tong Tong, Yue Liu, Tao Tan

“…Although high efficiency brought significant cost and time advantages, it also led to two major challenges: <xref ref-type="disp-formula" rid="deqn1">(1)</xref> extremely low tolerance for error&#x2014;any slight defect might have caused the entire product to be scrapped; <xref ref-type="disp-formula" rid="deqn2">(2)</xref> increasingly diverse and more concealed types of defects&#x2014;bubble defects, internal chip defects, printed circuit board (PCB) defects, and specific process defects were continuously emerged, posing significant challenges to the inspection process. …”
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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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Mathematical model of the process for diagnosing defects in aircraft structure elements made of composite materials by I. A. Davydov

“…Standardization of diagnostic processes and the introduction of new technologies in the field of defect detection represent important directions for future research. …”
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Research on Surface Defects Classification for PET Preform by Fusing Multi-Scale Features by Chunmei Duan, Taochuan Zhang, Lei Han, Huilin Tan

“…Product quality control is an important component of PET preform production process. In order to improve the accuracy and reliability of PET preform detection, reduce the cost of product quality defects, and improve the overall level of product quality, this paper proposes a surface defect detection method for PET preform based on multi-scale feature fusion. …”
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Defect Prediction in CWDM Optical Modules Using Multimodal Learning by Kyu-Jeong Choi, Jia Yang, Botambu Collins, Sung-Geun Kim, Do-Jin Lim, Jin-Taek Seong

“…Leveraging the complementary nature of these data sources enhances defect detection performance, enabling the proposed model to surpass conventional single modal alternatives. …”
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Leveraging deep learning technology for enhancing printing press quality by Omotunde Alabi Muyiwa, B.H. Adejumo

“…This study was designed to leverage deep learning technology for defect-detection in newspaper to improve printing quality. …”
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