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Updated: Dec 16, 2025

Author Spotlight: Efficient Image Recognition Using Directional Gradient Histogram Technique and Support Vector Machines
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基于自适应样本权重深度学习模型的塑料轮表面缺陷的智能检查方法和系统

Zhaoyao Shi1, Yiming Fang1, Huixu Song1

  • 1Beijing Engineering Research Center of Precision Measurement Technology and Instruments, College of Mechanical & Energy Engineering, Beijing University of Technology, Beijing 100124, China.

Sensors (Basel, Switzerland)
|July 27, 2024
PubMed
概括

这项研究介绍了PGD-net,这是一种用于检查塑料轮缺陷的智能算法. 它在识别16种缺陷类型时达到很高的准确性,并使生产线上的自动在线质量控制成为可能.

关键词:
适应性样本权重的使用.自动控制系统自动控制系统深度学习是一种深度学习.塑料轮 塑料轮 塑料轮表面缺陷检查检查检查表面缺陷检查

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When materials are subjected to forces that surpass their yield strength, they undergo a process known as plastic deformation. This results in a permanent alteration or strain in their structure. This concept can be specifically applied to circular shafts, where the deformation leads to a change in its shape. The precise evaluation of this plastic deformation requires understanding the stress distribution within the circular shaft, which is achieved by calculating the maximum shearing stress in...
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