DocumentCode
2024228
Title
Fuzzy expert system for fault diagnosis of robotic assembly
Author
Yan, Bo ; Zhang, Tie ; Xie, Cunxi
Author_Institution
Dept. of Mechatronic Eng., South China Univ. of Technol., Guangzhou, China
Volume
1
fYear
2002
fDate
2002
Firstpage
445
Abstract
Based on the working flow of an automated robotic assembly line, a fuzzy expert system (FES) for fault diagnosis of the assembly line is developed, which contains a user interface, knowledge base, inference engine and history database. The FES adopts a fuzzy forward chaining rule-based reference strategy and can predict the severity of faults according to a certainty factor. In addition, fuzzy logic and linguistic terms are also introduced.
Keywords
assembling; diagnostic expert systems; fault diagnosis; forward chaining; fuzzy logic; fuzzy systems; industrial robots; inference mechanisms; automated robotic assembly line; certainty factor; fault diagnosis; fuzzy expert system; fuzzy forward chaining rule-based reference strategy; history database; inference engine; knowledge base; user interface; Fasteners; Fault diagnosis; Fixtures; Fuzzy logic; Hybrid intelligent systems; Manipulators; Robotic assembly; Robotics and automation; Robots; Stators;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1022148
Filename
1022148
Link To Document