Federated-learning-based decision support for industrial internet of things (iiot)-based printed circuit board assembly process

YP Tsang, CH Wu, WH Ip, CKM Lee - Journal of Grid Computing, 2022 - Springer
Solder paste printing (SPP) is one of the critical processes for the printed circuit board
assembly to reliably apply the solder paste on raw PCBs for the component placement …

[HTML][HTML] Applying Machine Learning to Construct a Printed Circuit Board Gold Finger Defect Detection System

CY Huang, PX Tsai - Electronics, 2024 - mdpi.com
Machine vision systems use industrial cameras' digital sensors to collect images and use
computers for image pre-processing, analysis, and the measurements of various features to …

Predicting the transfer efficiency of stencil printing by machine learning technique

O Krammer, T Al-Ma'aiteh, P Martinek… - … Spring Seminar on …, 2020 - ieeexplore.ieee.org
Experiment was carried out for acquiring data regarding the transfer efficiency of stencil
printing, and a machine learning-based technique (artificial neural network) was trained for …

Application of Machine Learning for Quality Risk Factor Analysis of Electronic Assemblies

B Reidy, D Duggan, B Glasauer, P Su… - … Symposium on Quality …, 2023 - ieeexplore.ieee.org
The rapid identification of contributing factors to failures in a high-volume electronic product
manufacturing environment is critical to reduce disruption to production and mitigate …

Defect patterns study of pick-and-place machine using automated optical inspection data

Y Cen, J He, D Won - Soldering & Surface Mount Technology, 2022 - emerald.com
Purpose This paper aims to study the component pick-and-place (P&P) defect patterns for
different root causes based on automated optical inspection data and develop a root cause …

Predicting Defect Rates of Printed Circuit Board Assemblies: Towards Zero Defect Manufacturing and Zero-Maintenance Strategies

E Miedema, H Kortman… - Maintenance and Asset …, 2024 - research.rug.nl
Abstract Printed Circuit Boards (PCB) manufacturing is a critical part of volatile supply chains
for a wide variety of products and high value assets. PCBs are expected to exhibit zero …

Mitigation Strategies for Challenges in Adoption of Data Science in Industry 4.0

S Balasubramanian - Global journal of Business and Integral Security, 2016 - gbis.ch
Manufacturing Industries are currently undergoing a digital transformation called Industry 4.0
(I 4.0) to face the challenges of the Volatile, Uncertain, Complex and Ambiguous (VUCA) …