汽车行业质量缺陷的人工智能:系统性审查
Oswaldo Morales Matamoros1, José Guillermo Takeo Nava2, Jesús Jaime Moreno Escobar1
1Centro de Investigación en Computación, Instituto Politécnico Nacional, Ciudad de México 07700, Mexico.
人工智能 (AI) 通过改善缺陷检测和实现预测性维护来增强汽车质量控制. 这导致了工业4.0和5.0中更有效,更一致,更可持续的制造工艺.
科学领域:
- 制造业 工程 制造工程
- 计算机科学 计算机科学
- 工业工程 工业工程 工业工程
背景情况:
- 人工智能 (AI) 正在改变汽车行业,特别是在质量管理和问题识别方面.
- 工业4.0和5.0强调智能自动化和以人为中心的制造业.
研究的目的:
- 系统地审查人工智能实施方案,以提高工业4.0和5.0中的汽车生产流程.
- 分析AI在质量管理,缺陷检测和预测性维护中的作用.
主要方法:
- 深度学习是一种深度学习.
- 人工神经网络的人工神经网络
- 主要组件分析主要组件分析
- 卷积神经网络用于计算机视觉.
主要成果:
- 人工智能显著提高了缺陷检测精度,并减少了材料废弃物.
- 人工智能可以实现汽车零部件的自动跟踪,减少对手工检查的依赖.
- 人工智能通过预测机器故障来促进预测性维护.
结论:
- 整合人工智能解决方案对于使汽车制造业适应工业5.0要求至关重要.
- 人工智能提高了汽车质量保证的效率,一致性和可持续性.
- 未来的研究应该专注于透明的人工智能,网络物理系统和可持续的人工智能材料.
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