制造业缺陷检测的人工智能技术综述

2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA) Pub Date : 2021-07-12 DOI:10.1109/IISA52424.2021.9555499

E. Papageorgiou, T. Theodosiou, George Margetis, N. Dimitriou, P. Charalampous, D. Tzovaras, Ioannis Samakovlis

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引用次数: 10

摘要

零缺陷制造(ZDM)可以被描述为在生产过程中消除缺陷部件的一套方法和策略，是工业4.0的主要目标之一。ZDM是非常有吸引力的行业恩典，以减少与有缺陷的组件相关的运营成本。现代生产线中有效的缺陷检测可能受益于人工智能(AI)技术在制造过程的许多阶段。本文简要介绍了人工智能技术在产品检验和质量评估中的应用。据报道，指示性应用表明，多种形式的人工智能可以有效地集成到生产环境中，并为实现ZDM铺平道路。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Short Survey of Artificial Intelligent Technologies for Defect Detection in Manufacturing

Zero Defect Manufacturing (ZDM) can be described as the set of methodologies and strategies for the elimination of defective components during production, and is one of the main goals of Industry 4.0. ZDM is very appealing to industries grace to the reduction of operational costs associated with defective components. Efficient defect detection in modern production lines may benefit from Artificial Intelligence (AI) technologies in numerous stages of the manufacturing process. This paper presents a short review of AI technologies employed during product inspection and quality assessment. Indicative applications are reported to demonstrate that AI in its many flavors may be efficiently integrated into production environments and pave the way towards ZDM.

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2021 12th International Conference on Information, Intelligence, Systems & Applications (IISA)

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