Title :
A fuzzy inferential approach for the diagnosis of defects in electronics assembly
Author :
Cecil, Joe ; Erraguntla, Madha ; Mayer, Richard
Author_Institution :
Dept. of Ind. Eng., Texas A&M Univ., College Station, TX, USA
Abstract :
In this paper, a fuzzy inference approach to the diagnosis of defects in surface mount assembly of PCBs was described. Most trouble shooting or problem solving tasks including diagnosis of defects in electronics assembly are typically characterized by inexact or incomplete knowledge. Fuzzy approaches can be applied to build inference mechanisms which are different from the traditional expert system approach
Keywords :
assembling; diagnostic reasoning; fault diagnosis; fuzzy logic; inference mechanisms; printed circuit manufacture; surface mount technology; PCBs; defects diagnosis; electronics assembly; fuzzy inference approach; inference mechanisms; surface mount assembly; Assembly systems; Fault diagnosis; Fuzzy logic; Fuzzy sets; Industrial engineering; Knowledge based systems; Laboratories; Lead; Problem-solving; Reflow soldering;
Conference_Titel :
Electronics Manufacturing Technology Symposium, 1994. Low-Cost Manufacturing Technologies for Tomorrow's Global Economy. Proceedings 1994 IEMT Symposium., Sixteenth IEEE/CPMT International
Conference_Location :
La Jolla, CA
Print_ISBN :
0-7803-2037-9
DOI :
10.1109/IEMT.1994.404689
