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Published in 2020 at "Journal of Manufacturing Systems"
DOI: 10.1016/j.jmsy.2020.03.009
Abstract: Abstract Recent efforts to create a smart factory have inspired research that analyzes process data collected from Internet of Things (IOT) sensors, to predict product quality in real time. This requires an automatic defect inspection…
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Keywords:
metal;
inspection system;
defect inspection;
performance ... See more keywords
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Published in 2025 at "Measurement Science and Technology"
DOI: 10.1088/1361-6501/ade69e
Abstract: Ground-penetrating radar (GPR) has been widely utilized for inner structural defect inspection of infrastructure. However, automatic GPR control for inspecting the infrastructure and collecting high-quality GPR data remain challenging. To address such limitations, we developed…
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Keywords:
gpr;
inspection system;
network;
inspection ... See more keywords
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1
Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2957427
Abstract: Reliably and effectively detecting and classifying leather surface defects is of great importance to tanneries and industries that use leather as a major raw material such as leather footwear and handbag manufacturers. This paper presents…
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Keywords:
inspection;
machine;
defect inspection;
leather defect ... See more keywords
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Published in 2025 at "IEEE Access"
DOI: 10.1109/access.2025.3565002
Abstract: In the pursuit of promoting green energy, efficient defect inspection in solar cell manufacturing is crucial in enhancing the reliability of solar energy systems. However, traditional deep learning models for automatic defect inspection in photovoltaic…
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Keywords:
defect inspection;
cell;
attention;
solar cell ... See more keywords
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2
Published in 2022 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2022.3211199
Abstract: Surface defect inspection of railways is important to ensure safe transportation. However, challenging conditions, such as uneven illumination and similar foreground and background, hinder defect inspection. With the development of deep learning and the wide…
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Keywords:
depth;
rgb;
defect inspection;
surface defect ... See more keywords
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Published in 2018 at "IEEE Transactions on Automation Science and Engineering"
DOI: 10.1109/tase.2016.2603420
Abstract: Data-defect would affect the data quality and the analysis results of data mining. This paper presents a data-defect inspection method with kernel-neighbor-density-change outlier factor (KNDCOF). The definition of kernel neighbor density is proposed to represent…
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Keywords:
defect inspection;
data defect;
outlier factor;
density ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Industrial Informatics"
DOI: 10.1109/tii.2021.3126098
Abstract: For metal surface defect inspection, deep-learning-based methods have largely improved the inspection accuracy. However, insufficient data and the diversity of defects usually pose challenges for these methods. To solve these problems, traditional data augmentation methods…
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Keywords:
prior knowledge;
defect;
data augmentation;
defect inspection ... See more keywords
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1
Published in 2019 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2018.2871353
Abstract: Split pins (SPs) play an important role in fixing joint components on catenary support devices (CSDs) of high-speed railway. The occurrence of loose and missing defects of SPs could make the structure of CSDs unstable.…
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Keywords:
speed;
defect inspection;
speed railway;
split pins ... See more keywords
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1
Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3150581
Abstract: Defect inspection on lace products has always been a challenging task. The complexity and fragility of lace cloths increase the difficulty in distinguishing defects from normal textures. It is also extremely difficult to collect enough…
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Keywords:
lace;
lace surfaces;
periodic lace;
defect inspection ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3168895
Abstract: Product surface defect detection is vital to ensure the quality, efficiency, and reliability of industrial production. Deep-learning-based product surface defect inspection algorithms have been gradually used because of their higher detection accuracy and better generalization…
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Keywords:
cam;
surface defect;
defect inspection;
weakly supervised ... See more keywords
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2
Published in 2022 at "IEEE Transactions on Instrumentation and Measurement"
DOI: 10.1109/tim.2022.3204091
Abstract: The worldwide transportation industry relies heavily on shipping containers. Containerization has made it easier to transfer goods all over the world by guaranteeing cargo safety while in transit. To ensure the safety of goods during…
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Keywords:
framework;
corrosion defect;
defect inspection;
end ... See more keywords