Knowledge-based linguistic equations for defect detection through functional testing of printed circuit boards

2009 ◽  
Vol 36 (1) ◽  
pp. 292-302 ◽  
Author(s):  
Sébastien Gebus ◽  
Esko Juuso ◽  
Kauko Leiviskä
Keyword(s):  
Defect Detection ◽  
Printed Circuit Boards ◽  
Functional Testing ◽  
Circuit Boards ◽  
Printed Circuit ◽  
Knowledge Based

A Solution Methodology for the Multiple Batch Surface Mount PCB Placement Sequence Problem

1994 ◽  
Vol 116 (4) ◽  
pp. 282-289 ◽  
Author(s):  
Yu-Wen Huang ◽  
K. Srihari ◽  
Jim Adriance ◽  
George Westby
Keyword(s):  
Printed Circuit Boards ◽  
Solution Method ◽  
Identification Problem ◽  
Circuit Boards ◽  
Surface Mount ◽  
Printed Circuit ◽  
Knowledge Based ◽  
Sequence Identification ◽  
Placement Machine ◽  
Solution Methodology

The placement of surface mount components is a time consuming and critical task in the assembly of surface mount Printed Circuit Boards (PCBs). The focus of this research was the identification of “near optimal” solutions for the placement sequence identification problem. The factors considered include the placement machine and the specific PCB, the feeder space available, the need for tooling and nozzle changes, and the actual traveling path of the placement head. Expert (or knowledge based) systems were used as the solution method for this problem. The system developed can cope with single PCBs, panels, 180 deg offset boards (panels), and multiple PCB batches. The prototype knowledge based system developed in this research identifies solutions in (almost) realtime.

scholarly journals Applying deep learning to defect detection in printed circuit boards via a newest model of you-only-look-once

2021 ◽  
Vol 18 (4) ◽  
pp. 4411-4428
Author(s):  
Venkat Anil Adibhatla ◽  
◽  
Huan-Chuang Chih ◽  
Chi-Chang Hsu ◽  
Joseph Cheng ◽  
...  
Keyword(s):  
Deep Learning ◽  
Defect Detection ◽  
Printed Circuit Boards ◽  
Circuit Boards ◽  
Printed Circuit

scholarly journals TDD‐net: a tiny defect detection network for printed circuit boards

2019 ◽  
Vol 4 (2) ◽  
pp. 110-116 ◽  
Author(s):  
Runwei Ding ◽  
Linhui Dai ◽  
Guangpeng Li ◽  
Hong Liu
Keyword(s):  
Defect Detection ◽  
Printed Circuit Boards ◽  
Circuit Boards ◽  
Printed Circuit

Experience of the Application of Intelligent Control Paradigms to Real Manufacturing Processes

1995 ◽  
Vol 209 (4) ◽  
pp. 293-308 ◽  
Author(s):  
A A West ◽  
D J Williams ◽  
C J Hinde
Keyword(s):  
Intelligent Control ◽  
Printed Circuit Boards ◽  
Time Constraints ◽  
Manufacturing Processes ◽  
Circuit Boards ◽  
Proportional Control ◽  
Printed Circuit ◽  
Knowledge Based ◽  
Real Process ◽  
Neural Network Controllers

The application of conventional and intelligent control paradigms to the dispensing of adhesive in the manufacture of mixed technology printed circuit boards, a real process with real time constraints and error conditions, is outlined in this paper. A description of the process and its various operation and error states is followed by a brief discussion of the application of conventional (system identification and incremental proportional control) and intelligent (knowledge-based, fuzzy logic and neural network) controllers to the system. Comments on the control and timing performance of each paradigm are given.

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