Pattern recognition using fuzzy logic on PCB trace error detection
Printed circuit board analysis traditionally composes of visual inspection by comparing the etched material on the printed circuit board to its layout. This study aims to aid that process of error detection by providing a system that would analyze a printed circuit board based on its traces. This wa...
Saved in:
Main Authors: | , , , |
---|---|
Format: | text |
Language: | English |
Published: |
Animo Repository
2012
|
Online Access: | https://animorepository.dlsu.edu.ph/etd_bachelors/14814 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | De La Salle University |
Language: | English |
id |
oai:animorepository.dlsu.edu.ph:etd_bachelors-15456 |
---|---|
record_format |
eprints |
spelling |
oai:animorepository.dlsu.edu.ph:etd_bachelors-154562021-11-25T08:04:04Z Pattern recognition using fuzzy logic on PCB trace error detection Cruz, Franz Miguel S. Javier, Ralph John Christian P. Lastimosa, John Louise B. Yu, Byron Austine D. Printed circuit board analysis traditionally composes of visual inspection by comparing the etched material on the printed circuit board to its layout. This study aims to aid that process of error detection by providing a system that would analyze a printed circuit board based on its traces. This was accomplished with the use of the programming language LabView. With it, this research was able to create a system that could analyze a printed circuit board based on it is trace profile and determine whether it is still useable or not. 2012-01-01T08:00:00Z text https://animorepository.dlsu.edu.ph/etd_bachelors/14814 Bachelor's Theses English Animo Repository |
institution |
De La Salle University |
building |
De La Salle University Library |
continent |
Asia |
country |
Philippines Philippines |
content_provider |
De La Salle University Library |
collection |
DLSU Institutional Repository |
language |
English |
description |
Printed circuit board analysis traditionally composes of visual inspection by comparing the etched material on the printed circuit board to its layout. This study aims to aid that process of error detection by providing a system that would analyze a printed circuit board based on its traces. This was accomplished with the use of the programming language LabView. With it, this research was able to create a system that could analyze a printed circuit board based on it is trace profile and determine whether it is still useable or not. |
format |
text |
author |
Cruz, Franz Miguel S. Javier, Ralph John Christian P. Lastimosa, John Louise B. Yu, Byron Austine D. |
spellingShingle |
Cruz, Franz Miguel S. Javier, Ralph John Christian P. Lastimosa, John Louise B. Yu, Byron Austine D. Pattern recognition using fuzzy logic on PCB trace error detection |
author_facet |
Cruz, Franz Miguel S. Javier, Ralph John Christian P. Lastimosa, John Louise B. Yu, Byron Austine D. |
author_sort |
Cruz, Franz Miguel S. |
title |
Pattern recognition using fuzzy logic on PCB trace error detection |
title_short |
Pattern recognition using fuzzy logic on PCB trace error detection |
title_full |
Pattern recognition using fuzzy logic on PCB trace error detection |
title_fullStr |
Pattern recognition using fuzzy logic on PCB trace error detection |
title_full_unstemmed |
Pattern recognition using fuzzy logic on PCB trace error detection |
title_sort |
pattern recognition using fuzzy logic on pcb trace error detection |
publisher |
Animo Repository |
publishDate |
2012 |
url |
https://animorepository.dlsu.edu.ph/etd_bachelors/14814 |
_version_ |
1772834880524124160 |