Pattern recognition using fuzzy logic on PCB trace error detection
Date of Publication
2012
Document Type
Bachelor's Thesis
Degree Name
Bachelor of Science in Electronics and Communications Engineering
College
Gokongwei College of Engineering
Department/Unit
Electronics and Communications Engineering
Thesis Adviser
Reggie C. Gustilo
Defense Panel Chair
Melvin K. Cabatuan
Defense Panel Member
Elmer R. Magsino
Roman A. Palo
Abstract/Summary
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.
Abstract Format
html
Language
English
Format
Accession Number
TU16876
Shelf Location
Archives, The Learning Commons, 12F, Henry Sy Sr. Hall
Physical Description
104 [24] leaves: ill.(some col.) 28 cm
Recommended Citation
Cruz, F. S., Javier, R. P., Lastimosa, J. B., & Yu, B. D. (2012). Pattern recognition using fuzzy logic on PCB trace error detection. Retrieved from https://animorepository.dlsu.edu.ph/etd_bachelors/14814
