Intelligent defect detection based on Quality 4. 0: a case study of printed circuit board

被引：0
|
作者：
Liu H. [1 ]
Li K. [1 ]
Wang H. [1 ]
Shi H. [2 ]
机构：
[1] School of Economics and Management, Tongji University, Shanghai
[2] School of Materials, Shanghai Dianji University, Shanghai
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2024年 / 46卷 / 05期
关键词：
defect detection; intelligent manufacturing; printed circuit board (PCB) manufacturing; Quality; 4; 0; quality management;
D O I：
10.12305/j.issn.1001-506X.2024.05.21
中图分类号：
学科分类号：
摘要：
With the rapid development of information technologies, we can find more opportunities to transform and develop the manufacturing industry, which drives the significant transformation of quality management methods. Based on the actual situation of the manufacturing industry, this work outlines the basic theory and key technologies of Quality 4. 0, and further explore the application and implementation of Quality 4. 0. Specifically, the printed circuit board (PCB) manufacturing is taken as an example, and design an intelligent defect detection scheme is design during PCB production based on the Quality 4. 0 theory. And five key evaluation criteria for defect detection have been proposed. The proposed testing scheme can effectively help PCB manufacturing enterprises filter out false defects, control product yield, obtain defect resolution suggestions, and provide a learning and training platform for employees to master professional testing skills. This paper aims to study intelligent defect detection in the Quality 4. 0 environment and its application in PCB, in order to promote the digital and intelligent transformation of manufacturing quality management. © 2024 Chinese Institute of Electronics. All rights reserved.
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页码：1682 / 1690
页数：8
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